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Top 21 Power BI Report Examples: Inspiration to Visualize Your Data

by Sam McKay, CFA | Power BI

If you’re looking for a powerful tool to help you visualize and analyze data, then Power BI reports might be just what you need. With Power BI, you can create multi-perspective views into your datasets, complete with visuals representing your findings and insights.

The top 21 Power BI Report examples are a set of reports designed to provide users with an overview of the most important aspects of Power BI. Businesses can use these reports to connect to various data sources, transform, and clean the data, and then create visualizations and dashboards to gain insights and make data-driven decisions.

In this article, we will go over 21 of our favorites and show you how they can help you bring your data to life.

So if you’re ready to take your data analysis to the next level, it’s time to try these Microsoft Power BI reports!

Table of Contents

Top 21 Power BI Report Examples, It’s Time to Get Inspired

As organizations continue to move towards a digital-first approach, the need for data visualization and reporting tools has never been greater.

There are different reports on Power BI, each with its own unique capabilities. Below, we’ll explore some aweseom Power BI report examples that every organization should be using:

1. Customer Engagement Report

A Customer Engagement report is a visual representation of data that provides insights into customer behavior, interactions, and engagement with a business or organization.

Businesses and organizations can learn which email formats encourage the most consumer interaction and revenue, as well as which customer groups respond best to email marketing.

With this knowledge, companies, and organizations can create tailored email marketing campaigns that are more likely to connect with their intended audience and result in conversions.

2. Environmental Data Report

An Environmental Data Power BI report is used to analyze and visualize environmental data. This type of report can include data related to energy usage, carbon emissions, water usage, waste management, and other environmental factors.

By using Power BI, organizations can gain insights into their environmental impact and make data-driven decisions to reduce their carbon footprint and improve sustainability.

This report can help organizations looking to improve their environmental performance and meet sustainability goals

This report can be found in our Power BI Gallery.

3. Procurement Insights Report Example

The Procurement Insights report is useful if you want to learn more about your procurement process. By examining how long it takes for a purchased item to get to the invoice or receipt stage in the report, users can identify any delays or bottlenecks in the process.

The report provides customers with a thorough understanding of their procurement data, empowering them to make their own decisions and take the required actions to streamline their processes.

4. Quarterly Business Insights Report

Users can get insightful business intelligence and data on all significant organizational indicators for each fiscal quarter through the Quarterly Business Insights report.

The report enables users to evaluate important performance metrics, such as revenue, profit margins, and customer satisfaction. This enables users to spot areas for development and make informed choices to streamline their business operations.

Find out more about the quarterly business report and see more Power BI reports here .

5. Regional Summary Report Example

The Regional Summary report provides a thorough evaluation of regional financial performance. It gives a thorough overview of performance determinants and dynamically highlights the factors influencing previous performances.

The regional summary, which is broken down by region, gives a thorough summary of the financial performance in each region.

This report helps businesses can discover areas of strength and weakness in each region and make data-driven choices about how to enhance financial performance using the breakdown of performance factors.

6. Service Desk Analysis Report

The Service Desk Analysis report is designed to examine problem peak times over the course of several days and months.

It assists organizations in deploying the ideal workforce during the weeks and months when problems are at their peak in order to avoid backlogs.

Businesses can discover areas of strength and weakness and make data-driven decisions to enhance performance with the help of the application, which gives them a thorough picture of service desk performance.

7. Transport & Shipping Report

The Transport & Shipping report is a logistics report modeled after an app and created to give a thorough picture of the company’s profitability.

The report provides insights into historical revenue, cost, and profit patterns using a number of criteria. It also offers a bird’s-eye perspective of the shipping and transport operations, emphasizing important performance factors including the percentage of deliveries made on time, the amount of freight moved, and shipping expenses.

Credit: Hossein Seyedagha

Click here to see our entire collection of Power BI reports.

8. Detecting Outliers Report Examples

A crucial stage in data analysis involves discovering outliers or abnormalities within a dataset. Businesses and organizations may learn more about possible mistakes, data quality problems, or key events by identifying these odd data points.

Through the Detecting Outliers report, businesses and organizations may get insights into probable causes and take preventative action to stop reoccurring incidents by evaluating the patterns and changes linked to the anomalies the detecting outliers report.

This report can also assist in identifying potential benefits or dangers linked to the outliers, enabling more informed choice-making.

9. Emergency Services Analytics Report

Any emergency response team that wants to swiftly make data-driven choices should use the Emergency Services Analytics report. The report’s layout is simple and effective, making it simple to explore and get the data you want.

The report’s inventive use of tooltips is also remarkable since it offers in-depth analytical insights without sacrificing the report’s compact design.

To find out more about the Emergency Services Analytics report, check it out and many other Power BI reports, click here .

10. Management Insights Report

The Management Insights report offers a thorough overview of important financial and sales information. It is a very useful tool for decision-makers who need to examine their company’s performance swiftly and correctly.

This reports offers data with clear graphics, interactive elements, and an easy-to-understand manner. Executives can swiftly evaluate crucial financial and sales information including revenue, profit margins, client acquisition expenses, and more.

11. Purchases Summary Report

The Purchases Summary report gives customers a compelling picture of the purchase, sales, and inventory overview. This makes it simple for users to acquire and comprehend crucial data points and trends, empowering them to take well-informed decisions that will improve their business operations.

This report is designed to be extremely interactive, with a variety of visualizations that allow users to drill down into specific data points and gain deeper insights into their purchase, sales, and inventory data.

12. Stock Market Report Example

The Stock Market report is made to assist companies in tracking and analyzing stock market data. It enables companies to explore dynamic stock market data, analyzing important pricing and trading data.

This report enables companies to swiftly and simply spot trends and insights in stock market data, assisting them in making smart investment choices. It also has extensive customization features that let organizations alter the display to meet their needs and concentrate on the parameters that matter most to them.

We have a huge collection of free Power BI reports, you can check them out in our Power BI Gallery .

13. Time Intelligence Report

The Time Intelligence report was created to assist organizations in tracking important indicators throughout time and comparing current data to that from a previous time period.

Through the analysis of total sales, expenses, and profits provided in this report, businesses are able to spot patterns as they develop.

This report helps businesses can spot possible growth opportunities and take proactive steps to seize them by evaluating indicators for the success of their products, their regions, and their customers.

14. Website Analytics Report

The Website Analytics report offers a thorough examination of the company’s website and user activity. Users can analyze important website features like traffic source, device, age group, and more in the report.

The report offers helpful insights into the company’s worldwide audience and offers the option to evaluate website data by geographic location.

Users can discover areas for development and make adjustments based on actual website data thanks to the report’s spotlight on the website’s entry and exit points.

For companies aiming to boost their online visibility and engagement, the Website Analytics report is a crucial resource.

To see more Power BI reports, you can click here

15. Advertising Campaigns Report

The Advertising Campaigns report can assist you in determining which campaigns are engaging and creating the most interest from your intended audience and which ones are underperforming.

You can use this data to make data-driven decisions about where to spend your marketing budget, modify your messaging and targeting techniques, and optimize your campaigns to get better outcomes.

This strategy can assist you in achieving your marketing goals more successfully and efficiently, which will boost your return on investment and enhance your company’s performance.

16. Insurance Portfolio Analysis Report

The Insurance Portfolio Analysis report is a comprehensive report designed to help organizations determine who their active consumers are, which product categories sell insurance quickly, and which distribution channels work best.

The report offers consumers a variety of visualizations that allow them to acquire insights into their insurance sales success.

This data is crucial in assisting organizations in identifying areas for improvement and optimizing their sales operations. This report also includes information on consumer demographics, product categories, and sales performance measures.

17. Data Documentation Report

A Data documentation report helps businesses and organizations can immediately spot patterns and trends in their data, making it simpler to make informed choices.

Advanced scripting is also used to collect huge amounts of data in a structured and organized manner, guaranteeing the accuracy and dependability of the data.

18. Health Services Analytics Report

The Health Services Analytics report is a well-designed tool that uses timelines, drill-through, and hovering techniques to efficiently approach the data from four distinct viewpoints.

The report provides customers with a comprehensive overview of healthcare data, allowing them to identify trends, patterns, and anomalies in the data. It also includes information on a wide range of health services, such as patient demographics, medical procedures, and healthcare provider contact information.

19. Product Discounting Scenarios Report

Users can create unlimited “what if” scenarios for product discounting strategies using the Product Discounting Scenarios report. This enables users to evaluate the efficiency of various discounting strategies and monitor crucial performance metrics.

This report gives customers a clear picture of their discounted data so they can decide what to do and how to best employ their strategies. It is also designed to be very adaptable, enabling customers to modify the scenarios to meet their own needs and specifications.

20. Service Desk Issues Report

The Service Desk Issues report is intended to assist companies in managing and keeping track of their projects. Businesses can use it to identify which projects are producing the greatest problems and how many of them are of high priority.

Businesses can also use the application to keep track of these issues’ statuses and concentrate on those that are still “To Do” or “In Progress.” Through this report, businesses can spot possible bottlenecks in their projects using the Service Desk Issues tool and take proactive steps to prevent delays.

21. Inventory Analysis Report

The Inventory Analysis report is a tool that assists organizations in analyzing their inventory data. The report employs several bookmarks to make a single-page report appear multi-page. The report offers consumers a variety of visuals to help them acquire insights into their inventory data.

This data is crucial in assisting firms in identifying areas for improvement and optimizing their inventory management procedures. The report includes information on-premises, such as inventory levels, stock movements, and reorder points.

Creating Power BI reports is a fundamental skill that can help you visualize and analyze your data effectively.

Now that we’ve covered the top 21 Microsoft Power Bi reports, we’ll examine the basic steps of how to create them.

Let’s get to it.

How to Create Power BI Reports

When creating reports in Microsoft Power BI, you can use two main tools: Power BI Desktop and Power BI Service . Both tools have strengths and weaknesses, so it’s important to understand when to use each and the major differences between them.

1. Using Power BI Desktop

Power BI Desktop is a powerful tool that allows you to create rich, interactive reports with a wide range of visualizations and data sources. Here are the basic steps to create a report in Power BI Desktop:

Connect to your data source : Power BI Desktop supports a wide range of data sources, including Excel, SQL Server, and many others. You can also connect to cloud-based data sources like Azure SQL Database and Salesforce.

Create your dataset: Once you’ve connected to your on-premises or cloud data warehouse, you can create a dataset that defines the fields and relationships you want to use in your report. You can also explore data transformations and calculations to prepare your data for visualization.

Design your report: With your underlying dataset in place, you can start designing your report. Power BI Desktop provides a wide range of visualizations and customization options to create a report that meets your specific needs.

Publish your report: Once you’re happy with it, you can publish reports to the cloud, where you can share them with others and collaborate.

2. Using Power BI Service

Power BI Service is a cloud-based tool that allows you to create, view, and share reports from anywhere. Here are the basic steps to create a report:

Connect to your data source: Like Power BI Desktop , Power BI Service supports a wide range of sources, including Excel, SQL Server, and many others. You can also connect to cloud-based services like Azure SQL Database and Salesforce.

Create your dataset: Once you’ve connected to your data source, you can create a dataset that defines the fields and relationships you want to use in your report. You can also perform data transformations and calculations to prepare your data for visualization.

Design your report: With your dataset in place, you can start designing your report. The program provides a wide range of visualizations and customization options, so you can create a report that meets your specific needs.

Share your report: Once you’re happy with your report, you can share it with others by publishing it to the cloud. You can also collaborate on the report with others, allowing them to view, edit, and comment on the report.

Creating Power BI reports can be a powerful way to visualize and analyze your data. Whether you’re using Power BI Desktop or Power BI Service, a wide range of tools and options are available to help you create the perfect report for your needs.

Having established how to create a Power BI report, we’ll move on to explore how to design interactive Power BI reports.

How to Design Interactive Power BI Reports

When designing your reports, creating interactive elements that engage your audience and allow them to explore the data more meaningfully is important.

Here are some tips for creating interactive reports to keep your audience engaged.

1. Adding Filters

Adding filters to your report is an easy way for your audience to interact with the data. Filters can be added to any visual in your report and can be used to highlight specific data points or to drill down into the data.

To add a filter, simply select the visual you want to filter and click on the “Filters” button in the Visualizations pane.

You can then select the field you want to filter by and choose the type of filter you want to apply. Power BI offers a variety of filter types, including basic, advanced, and relative date filters.

2. Creating Bookmarks

Bookmarks are a powerful Power BI solution that allows you to save the state of your report and return to it later. This is especially useful when you have a complex report with multiple pages or when you want to highlight specific data points.

To create a bookmark, simply navigate to the page or visual you want to bookmark and click on the “Bookmark” button in the Visualizations navigation pane below. You can then give your bookmark a name and choose whether to include the current filter state and drill-down state.

3. Adding Comments

Adding comments to your report is a great way to provide additional context or insights into the data. Comments can be added to any visual in your report and can be used to highlight specific data points or to provide additional information.

To add a comment, simply select the visual you want to comment on and click on the “Comment” button in the Visualizations pane. You can then enter your comment and choose whether to make it public or private.

Adding filters, bookmarks, and comments to your reports allows you to create interactive and customizable reports that engage your audience and provide valuable insights into the data.

Next, we’ll examine sharing and collaborating on Power BI reports.

How to Share and Collaborate on Power BI Reports

Sharing and collaborating on reports is an essential aspect of Power BI. It helps business users to work together and share insights with their colleagues.

This section will discuss the two main ways to share and collaborate on reports: Publishing and Sharing Reports and Collaborating on Reports .

1. Publishing and Sharing Reports

To share a report, you need to publish it first. Once you have published a report, you can share it with others inside or outside your organization. Here are the steps to publish and share a report in Power BI:

Open the report you want to share in Power BI Desktop.

Click on the Publish button in the Home tab.

Select the workspace where you want to publish the report.

Enter a name and description for the report.

Click on the Publish button to publish the report to the cloud.

Once you have published the report, you can share it with others. To share a report, follow these steps:

Open the report.

Click on the Share button in the top-right corner.

Enter the email addresses of the people you want to share the report with.

Choose whether you want to allow them to edit the report or just view it.

Click on the Share button to share the report.

2. Collaborating on Reports

Collaborating on reports allows you to work together with your colleagues to create and edit reports. Here are some ways you can work with others:

Power BI community : The Power BI community is an online forum where you can connect with other Power BI users, ask questions, and share your knowledge. You can collaborate on reports by posting your questions or ideas in the community and getting feedback from other users.

Mobile app : The mobile app allows you to view and share reports on your mobile device. You can collaborate on reports by sharing them with your colleagues through the mobile app and getting their feedback.

Power BI service : The cloud service allows you to collaborate on reports with your colleagues in real-time. You can work together on the same report, make changes, and see the changes as they happen.

Business users : Business users can collaborate on reports by sharing their insights and ideas with their colleagues with a Power BI pro license. They can also provide feedback on the reports and suggest changes to improve them.

Sharing and collaborating on reports is an essential aspect of the software. It allows business users to work together and share insights with their colleagues.

By following the steps outlined in this section, you can easily publish and share reports and collaborate with your colleagues to create and edit reports.

We’ll move on to the next section by covering how to export and share data.

How to Export and Share Data in Power BI Report

If you’re working with Power BI reports, you’ll likely need to export and share data at some point. Fortunately, the software offers several options for both exporting and sharing data, making it easy to collaborate with your team and stakeholders.

1. Exporting Data

Exporting data from reports is a straightforward process. To transfer data from a report visual, simply select the visual, then select More options (…) > Export data.

From there, you can choose a location for the .csv file and edit the file name if needed. Once you’ve saved the file, you can share it with others as needed.

The tool also offers other options for exporting data, such as exporting data from Power BI dashboards.

To transfer data from a dashboard, simply select the Export data option from the dashboard menu. You can also do the same from a report using that option from the More Options menu.

2. Sharing Reports on Mobile Devices

Power BI makes sharing reports on mobile devices easy, allowing you to collaborate with your team and stakeholders even when you’re on the go.

To share your report, simply select the Share option from the report menu. From there, you can share the report via link or email or share it directly with other users.

In addition to sharing reports, you can also share dashboards and individual visuals on mobile devices. To share a dashboard or visual, simply select the Share option from the dashboard or visual menu. From there, you can share the item via link or email or share it directly with other users.

Overall, Power BI offers a range of options for exporting and sharing data, making it easy to create a detailed tabular report and collaborate with your team and stakeholders.

Whether you’re working on a desktop or a mobile device, you can easily export and share information from your data warehouse with just a few clicks.

We’ll progress by reviewing how to create metrics and dashboards in Power BI in the next section.

How to Create Metrics and Dashboards in Power BI

You need to create metrics and dashboards to get the most out of your data in Power BI. Metrics are key performance indicators (KPIs) that help you track your company goals.

Dashboards are collections of visualizations that help you monitor your metrics and make informed decisions.

1. Creating Metrics

To create a metric in Power BI, you need to follow these steps:

Open Power BI and go to the workspace where you want to create the metric.

Click on the “Create” button and select “Metric” from the dropdown menu.

Choose the data source for your metric and select the measure you want to use.

Customize your metric by adding a title, description, and target value.

Save your metric and add it to a dashboard.

2. Creating Dashboards

To create a dashboard in Power BI, you need to follow these steps:

Open Power BI and go to the workspace where you want to create the dashboard.

Click on the “Create” button and select “Dashboard” from the dropdown menu.

Choose the visualizations you want to add to your dashboard and customize them.

Add your metrics to your dashboard by clicking on the “Add Tile” button and selecting “Metric.”

Customize your dashboard by adding a title, description, and filters.

Share your dashboard with your team by publishing it to the Power BI service.

Best Practices for Metrics and Dashboards

To get the most out of your metrics and dashboards, you should follow these best practices:

Keep your metrics simple and focused on your business goals.

Use visualizations that are easy to understand and interpret.

Update your metrics regularly to ensure they reflect the latest data.

Share your dashboards with your team to encourage collaboration and informed decision-making.

Use filters to drill down into your data and identify trends and insights.

By following these best practices, you can create metrics and dashboards that help you monitor your business goals and make informed decisions. Power BI makes it easy to create and customize metrics and dashboards, so you can get started right away.

If you want to learn how to create paginated reports, keep reading as we’ll go over that in the next section.

How to Create Paginated Reports Using Power BI

If you need to create and distribute highly formatted, pixel-perfect reports, Power BI Paginated Reports is the way to go.

These reports provide a way to print and distribute data in a structured and organized format that is easy to read and understand.

To create a paginated report , you can use Power BI Report Builder or the Power BI service. Report Builder is a standalone tool that you can download and install on your computer. The Power BI service is a cloud-based platform that you can access through a web browser.

Once you have created your report, you can publish it to the Power BI service, where you can manage and distribute it to your users. You can also schedule the report to be delivered to your users via email.

Paginated reports are a great way to create and distribute reports that require a high level of precision and formatting. They are particularly useful for financial reports, invoices, and other documents that require a consistent layout and design.

When you create a paginated report, you can use a variety of info sources, including SQL Server, Oracle, and Excel . You can also use shared data sets, which allow you to reuse data across multiple reports.

Overall, paginated reports are a powerful tool for creating and distributing highly formatted reports. Whether you are a financial analyst, a business owner, or a data analyst, paginated reports can help you to present your data in a clear and organized way.

Note : A free Power BI license lets you publish paginated reports to your workspace only. If you want to publish your reports in other workspaces, then you’ll need a Power BI Pro license. To learn more about the differences between Power BI Pro and Power BI Premium licenses, check out this in-depth article .

Now that we have established how to create paginated reports on Power BI, we will discuss some of the best practices to keep in mind when creating data visualizations in your reports and dashboards.

Data Visualization Best Practices in Power BI Reports

When creating Power BI reports, it’s important to follow best practices for data visualization to ensure that your reports are effective in conveying insights to your audience. Here are some tips to keep in mind:

1. Choose the Right Visualization for the Data

Different types of data require different types of visualizations. For example, a line chart is useful for showing trends over time, while a scatter plot can help identify correlations between two variables. Make sure to choose the right visualization for the data you’re working with.

2. Keep it Simple and Easy to Read

Your visualizations should be simple and easy to read. Avoid cluttering your reports with too many visualizations or unnecessary details. Use clear labels and color schemes that make it easy to understand the information presented.

3. Use Consistent Formatting

Consistent formatting is key to creating a professional-looking report. Use the same font, color scheme, and formatting throughout your report to create a cohesive look and feel.

4. Highlight Key Insights

Use visualizations to highlight key insights and trends in your data. This can help your audience quickly understand the most important information in your report.

5. Use Interactive Visualizations

Power BI allows you to create interactive visualizations that allow your audience to explore the data on their own. Use these features to create engaging reports that keep your audience engaged.

By following these best practices for data visualization, you can create effective Power BI reports and dashboards that convey insights to your audience in a clear and concise manner.

Final Thoughts

Power BI reports are highly customizable, allowing users to design visually appealing dashboards and reports that suit their specific needs.

The interactive nature of the reports enables users to drill down into the data, apply filters, and explore different angles to gain deeper insights.

Furthermore, Power BI reports can be easily shared and accessed by multiple users, both within and outside the organization with Power BI Pro and Power BI Premium licenses, ensuring that stakeholders can access data that are important and up-to-date information.

Whether you are a business user or a data analyst, Power BI can help you create reports that can help you make better business decisions. So, start exploring how Power BI works today and see how it can help you transform your data into actionable insights!

If you want to explore more awesome power BI reports, check out the video below:

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15 Best Power BI Dashboard Examples in 2024

Looking for the best Power BI dashboard examples to simplify data-driven decision-making? You’ve landed on the right page.

According to one study, a whopping 87% of peopl e consider data preparation a critical task. That’s where Power BI shines.

Whether your data is in Excel or a complex cloud-based warehouse, business intelligence & data visualization tools like Tableau , Grafana , Qlikview , Power BI transform it into easily digestible, actionable insights.

In this guide, we’re walking you through 15 stellar Power BI dashboard examples that simplify decision-making, improve KPIs, and empower teams.

Let’s go ahead and get started.

1. Airport Authority Performance Power BI Dashboard

2. customer analysis power bi dashboard, 3. global superstore retail power bi dashboard, 4. cancer analytics power bi dashboard, 5. pharma sales analysis power bi dashboard, 6. hr analytics power bi dashboard, 7. executive insights power bi dashboard, 8. inventory stock analysis power bi dashboard, 9. electricity energy usage and cost power bi dashboard, 10. sales scorecard power bi dashboard, 11. social media monitoring & analytics power bi dashboard, 12. attendance tracker power bi dashboard, 13. team performance vs. target power bi dashboard, 14. nfl fantasy football player comparison power bi dashboard, 15. seattle’s construction climate power bi dashboard, what makes a good power bi dashboard, what are some common mistakes to avoid when designing a power bi dashboard, best power bi dashboard examples – wrap-up, best power bi dashboard examples.

The Airport Authority Performance Power BI Dashboard gives a clear and user-centric view of all critical data. Airport management authorities can use quickly make data-driven decisions where there are 

• Flight changes
• Emergencies

What does this Power BI Dashboard Does

This Power BI dashboard overview offers quick insight into critical key metrics including 

• Total flights (incoming and outgoing flights)
• Total delays (arrivals and departures)
• Ground handling time – Queuing, Processing, and Clearance time
• Passengers satisfaction index

With this dashboard, users can study the most popular flight routes, the top five airlines, for incoming and outgoing flights. The dashboard also provides data about the source and destination cities of major airliners. 

This Power BI dashboard features a passenger feedback section and offers an insight into the 

• Number of passengers by gender and age group 
• Top Nationality 
• Satisfaction experience based on terminal and month 
• Total satisfaction count and more

This Power BI dashboard can help airport management 

• Evaluate operational processes 
• Discover bottlenecks
• Identify areas for improvement

People’s Response to This Power BI Dashboard

• This dashboard offers detailed actionable insights into airport operations activities.
• Page backgrounds are incredible.

Explore : Best Tableau Courses

The Customer Analysis Power BI Dashboard offers valuable insight into product sales and profit for regional customers. Managers and business leaders can use this Power BI dashboard to analyze business growth across regions. 

They can evaluate profit distribution across customers, make valuable decisions to increase revenue, and drive profitability. 

What this Power BI Dashboard Example Does

This dashboard provides details about total sales, total profits, last year sales, and percentage growth. You can use the filters to view data for different years. With this dashboard, managers can gain key insights into

• Product-wise sales analysis
• Customer-specific growth and profit statistics
• Channel specific sales and profits

Customers can use charts to 

• Compare total sales and profit margins
• Analyze client segmentation and product performance

People’s Response to This Dashboard

• The icons and color combinations are excellent
• The dashboard is useful for sales and marketing teams 

You Might Want To Read : Best Tableau Sales Dashboard Examples

The Global Superstore Retail Power BI Dashboard offers a 360-degree picture of overall sales performance. Managers can use this Power BI dashboard to set performance targets, track KPIs, and measure results.

The dashboard has a single-screen display and offers actionable insights into key elements. Users can view detailed analyses and information including 

• Total sales, profit, and profit ratio
• Sales by country
• Sales by category and subcategory
• Total sales by city and more
• This retail Power BI dashboard highlights critical information. 
• The dashboard is clean, easy to read, and offers powerful key insights.

Worth Reading : Best Tableau Retail Dashboard Examples

This Power BI dashboard tells a story about cancer patients in the USA. With this dashboard, health agencies can 

• Make informed decisions 
• Establish policies to manage cases and track recoveries

What this Power BI Patient Analytics Dashboard Does

The Cancer Analytics dashboard shows total cancer incidences and mortalities. Users can view the total population affected, and the numbers of people affected based on demography and area. 

The Power BI dashboard helps you understand the incidences and mortality rates associated with each cancer type. You can hover over any state to find out the number of affected victims.

• The dashboard is intuitive and visually appealing. 
• It provides valuable data for government use. 

The Pharmaceutical Sales Analysis Dashboard provides an overview of sales for veterinary products. Veterinary professionals can use this chart to track the sale of products used to treat small animal species.

With this sales analysis dashboard, sales manager can analyze product sales for the Top Five Cities and the Bottom Five Cities. Users can view extensive reports on 

• Sales by Therapeutic Group
• Top 25 Products by Sales and Quantity 
• Therapeutic Sales Trends across any given period
• The interactive dashboard has cool data visualizations and offers profound insights. 
• Data is visible and arranged.

The HR Analytics Dashboard offers a bird’s eye view of a company’s human resource key metrics including 

• Headcount statistics
• Financial performance & statistics 
• Demographic statistics 
• Employee details

With this dashboard, organizations can make critical decisions to drive employee productivity. 

This Power BI dashboard provides data insight into headcount statistics. Under this tab, managers can view 

• Total Headcount 
• Active Employees
• New Joiners
• Attrition Rate 
• Satisfaction Score by Employee
• Attrition Rate by Education, Salary, and Experience 

The dashboard offers additional insight into demographic statistics including 

• Employee by Location and Demography
• Quarterly Employee Headcounts by Departments 
• Total Absenteeism by Department and Leave Type

The chart offers an accurate representation of the firm’s finances in terms of 

• Cost to Company (CPC), 
• Company Cost by Division and Departments
• Compensation, Salary, Bonus, Overtime, and more

It also gives an overview of each employee, including

• Performance ratings
• Annual leave report
• Personal information
• Financial performance & details
• Current position
• Absenteeism report
• Reports and visualizations are pixel perfect.
• The dashboard color theme is visually appealing. 

This Power BI intelligence dashboard sheds light on business health and performance. Companies can use this dashboard to explore company-wide data for decision making. 

The Executive Insights dashboard allows companies to view their business from multiple angles based on attributes including 

• Order type 

The dashboard leverages line charts, donut charts, and custom visuals for analysis. Companies can use filters to tell stories about business elements, like total profit, quantity, and revenue. Users can gain insight into metrics such as 

• Profit margin
• Average order quantity
• YOY percentage change in Total Profit
• Top five products by Total Profit, Total Quantity, and Total Revenue
• How Total Profit, Total Quantity, and Total Revenue is distributed geographically

The tool allows users to dig deeper and view company performance based on specific product types. 

• The dashboard offers next-level user interactivity and attractive mapping.
• Clear and easy to understand 

The Inventory Stock Analysis Dashboard provides a clear view of the company’s inventory for the year 2018. Companies can track stock availability and replenish them at the right time. 

The dashboard is broadly categorized into:

• Product Categories by Customer Views and Inventory
• Category Selection – Men’s clothing and Women’s Clothing
• Quarters – First, second, and third quarters

Product Categories by Views are further classified into 

• Most Viewed
• Least Viewed
• Products Not Viewed

You can also view Total Sales in USD and percentage-based classification. Product Categories by Inventory are classified into 

• Running Out Of Stock 
• Out of Stock

For each category, the top five products, number of views, days’ supply, and replenishment days are clearly outlined. 

This dashboard also offers insights on Inventory. It divides the top five products into individual categories and segments them into Overall Percentage and Total Sales.

The dashboard offers a stock prediction section. Users can select product subcategories and get data on Average Daily Sales, Replenishment Days, and Days Out of Stock.

You can predict Time to Replenish Stock and Stock Availability based on factors like MarkDown Variance and Fulfillment Cycle.

People’s Response to This Financial Analytics Dashboard

• This financial analytics dashboard is intuitive and covers multiple sections. 

This Power BI dashboard helps users to estimate the electrical energy they utilize from home appliances. Users can view critical insights about United States Electricity Supply and Cost. 

With this dashboard, users can monitor their power consumption and take proactive steps to reduce costs. 

What this Dashboard Does

Users can calculate their usage by selecting the appliances they use and how much time they use per day. Then they can choose their state or location to estimate the cost of their electricity bill. The dashboard showcases the following

• Total Annual Energy (kWh)
• Total Annual Cost ($)
• Annual Costs by Category or Appliance
• Annual Energy by Appliance

This dashboard gives users a birds-eye view of 

• Total Electricity Sales by Sector
• Count of Plants by Sources, Prime Movers, and Energy Group
• The dashboard provides useful information for everyday use.
• Presentation is accurate and easy to understand

The Sales Scorecard dashboard is another one of the popular Power BI dashboard examples. It helps organizations answer critical questions about sales performance.

This powerful data visualization tool leverages Power BI elements, including shapes, cards, treemaps, and DAX, to build Key Performance Indicators (KPIs) that provide enough details to help sales managers take action.

What this Power BI Sales Scorecard Dashboard Does

This sales dashboard provides vital insight into how much companies are selling per state, region, and product. You can view comparisons of sales and profit against the previous years to put sales performance into perspective. 

Managers can view the cost components of the business that are driving profits or losses. Also, they can filter the sales dashboard based on year and business segments. 

People’s Response to This Sales Dashboard

• The sales dashboard is interactive and easy to understand. 
• The chart helps sales & data analytics teams answer important questions. 

This analytics dashboard is great for marketers, managers, and agencies. With the Social Media Monitoring and Analytics dashboard, you can improve sales, product quality, and crisis control. The tool helps organizations understand the audience’s opinion about their product. 

What this Power BI Analytics Dashboard Does

This Power BI analytics dashboard shows monthly data focuses on aspects of social media including 

• Discussion Intensity
• Web Sources
• Sentiment Analysis 
• Online Influencers 
• Special Categories
• Quotes and Geolocation 

The Discussion Intensity tab offers critical insight into total reach, mentions on social media , and beyond social media. The chart also shows influencers by volume and impact, amplification, and true reach.

The sentiment analysis highlights User’s Mentions by Day, Hour, and Total mentions. Users can also view the percentage of negative, positive, and neutral mentions. 

Web sources show the channels from which the mentions emanated, including 

With this analytics dashboard, users can view positive and negative mentions based on geolocation, including regions and cities.

Under the online influencer section, you’ll find influencers broken down by volume and impact across the months of the year. It also shows a breakdown of the influencer’s follower numbers impact, whether it’s negative, positive, or neutral.

People’s Response to This Analytics Dashboard

• The dashboard is stunning and offers critical insight. 
• Beautiful dashboard design 

The Attendance Tracker Dashboard helps school administrators track attendance across different teachers, classes, and schools. 

This attendance tracker dashboard will drive critical conversations and increased engagement between key stakeholders. With the reports from this dashboard, stakeholders can increase attendance and improve performance in the educational sector.

The dashboard shows the Absence Percentage by Subject, Courses, Period, and Day. Users can gain insight into the percentage of Actual and Target Absence, Total Absences, and Target Absences.

The District Status section provides high-level insight into attendance trends and goals. The line chart highlights Actuals compared to Target over time. Plus, the chart offers a predicted range for future months.

The chart also shows data about Opportunities by School. This section will help administrators target the most critical schools to work with. The most critical schools have the highest opportunity for Absence Reduction.

The Conversation Topics section provides insight into relevant information such as subject, course, period, and days of the week.

With this data, school administrators can reach out to teachers on an individual basis and increase educational value. 

People’s Response to This Power BI template

• Excellent and Insightful dashboard for teachers and administrators.
• The dashboard provides valuable insights at a district level to create action and development plans for teachers, schools, and specific periods and subjects. 

The Team Performance vs. Target dashboard highlights the performance level against set targets for business teams. 

With the insight from this dashboard, business leaders can share targets with teams daily, and evaluate how they score against their goal.

Managers can uncover areas for improvement and require more push, products, and customers that sales teams should focus on. 

This dashboard shows you the targets and bonuses that are within reach. It uses drill-throughs and bookmarks to organize the content. 

Users can move fluently between pages, switch between visuals using toggle) and drill down on Sales Reps, Products, and Customers.

What this Data Analytics Dashboard Does

The first page of the dashboard shows the percentage of YTD Results Vs. Target. You can click on a team member’s photo to view their Sales Rep Bookmark. 

For each sales rep, you can select metrics (Units or Profits). Also, you can select Period to analyze and understand long and short term trends.

Also, this data analytics dashboard allows users to switch between Bar and Map visuals using the toggle image, view non-profitable customers, and more.

Users can compare Performance and Target Cumulative Variance for all customers. You can right-click on the bar chart to open Customer Bookmark and drill through customers. 

This dashboard shows you profit, average price, and average margin within a location. Users can switch between Scatter and Matrix visuals using Toggle and identify product and sales opportunities within customers. 

• The data visualizations are innovative and well-customized. 
• The dashboard is easy to understand.

This Microsoft Power BI dashboard helps users prepare their fantasy draft for the new NFL season. The dashboard draws its data from the NFL Fantasy Football player projection and the NFL player stats. Games and NFL enthusiasts use this dashboard to make accurate predictions and secure winnings. 

You can use this Fantasy football player comparison tool by selecting player one and player two from the lists provided. The Power BI report allows users to compare players by viewing critical players’ stats. You can view stats including 

• Total fantasy points for the previous season
• Projected receptions
• Yards and touchdowns for the upcoming season 
• Current season’s NFL.com predicted points total

The dashboard includes “What Ifs” to allow the user to create their player projections. Under the sections ‘Calculate Your Projection,’ you can adjust the selected player’s receptions, touchdowns, and yards numbers to see how it will impact their overall fantasy points. The scoring for this dashboard is based on the standard NFL.com fantasy scoring system.

Furthermore, this dashboard includes an option for PPR (points per reception) leagues. If your league is a PPR league, you can select ‘Yes’ in the top left corner. The overall points calculation will take into account the added points for each of the player’s receptions.

• Fantastic dashboard design layout 
• Excellent use of the player images

This Power BI dashboard visually captures and presents the growth of Seattle’s Construction industry. The dashboard is powered by data from the Seattle Building Permits dataset . 

The building permit data offers profound insight and paints a clear picture of industry growth. It also provides a sneak preview into the future of Seattle’s construction climate. 

This dashboard is valuable for 

• Construction salespeople researching prospective sites
• Contractors investigating the competition’s strategy 
• Managers and CEOs that are making critical decisions on how to pivot their business

Seattle’s Construction Climate dashboard provides a deeper understanding of the market. Also, it enables you to drill down into major details and research specific events.

This dashboard is divided into three tabs. These tabs provide answers to critical questions. 

For the Building Climate Overview Tab

• The top bar chart shows the increase in pace and amount of investment with time. 
• The map highlights the investment concentration in specific locations. It also shows how the concentration is affected by Individual, Contractor, or Category. 
• The Highlighted Metrics section provides insight into market status. It shows the Permit Count, Total Value, Average Permit Value, and Maximum Permit Value. 
• The Middle Bar Chart shows categories that have the highest breakout. It also displays the individuals with the Largest Sum Value and Permits leading the market. 

Contractor Competition Tab

• The top line charts show the trending deal amounts and frequencies.
• The middle bar charts show contractors that are winning the most deals. It also shows which contractors have the highest Total Sum of Deals. You can also see which contractors are leading the market based on size, quantity, size, value

Category Growth Tab

• The left bar chart showcases the Total Value of Permit, Total Count of Permits, and Average Permit Value for each category.
• The line chart shows which category at the fastest rate and total Value growth trend and permit status.
• The right bar chart shows the status of most permits. 

This dashboard is easy to operate. You can select the parameters that fit your situation. Also, you can adjust the time frame using the top slider bar.

Dashboard Filterable Fields

The filterable fields in this dashboard include the 

• Permit Status – Application, review, and inspection lifecycle
• Permit Type – This refers to Activities covered by the permit (Construction, Site Development, and Demolition)
• Category – Industrial, Commercial, Institutional, Single Family or Duplex, and Multifamily
• Contractors associated with a permit
• The dashboard shifts the focus from data complexities to the design elements and visual flow.
• The dashboard is attractive, intuitive, and easy to understand. 
• Users can easily find critical insights and make decisions quickly. 

You can build a Power BI dashboard that doesn’t just look good but also drives action. You’ve got to focus on more than just fancy visuals. We’re talking about elements that go from turning raw data into crystal-clear decisions.

Visuals That Mean Business : Pick visuals that get straight to the point. No fluff. They should make your data not just readable but actionable. Keep it clutter-free.

Insights That Matter : Zero in on the KPIs and metrics that align with your business goals. Your dashboard should be a decision-making tool, not just a pretty picture.

Easy Navigation : Your dashboard should be a breeze to navigate. Design it so users can quickly jump to different sections and dig deep into the details.

Design Consistency : Stick to a design theme. Use a cohesive color scheme, fonts, and layout to keep things streamlined and professional ( Microsoft ).

Be Responsive and Interactive : Make sure your dashboard plays nice with different screen sizes and devices. Add interactive elements like slicers and tooltips to keep users engaged.

Keep Data Fresh : What’s worse than outdated data? Make sure your dashboard always reflects the current state of affairs. Regular data refreshes are a must.

Optimize Performance : Keep your dashboard snappy by minimizing the number of visuals and cutting down on unnecessary interactions. Stick to Microsoft-certified visuals for optimum performance.

Know Your Audience : Last but not least, tailor your dashboard to the people who’ll actually use it. Understand their goals and metrics to deliver a tool that’s genuinely useful to them ( Microsoft ).

By nailing these elements, you’ll create a Power BI dashboard that’s not just eye-catching but a serious asset for data-driven decision-making.

If you want your Power BI dashboard to be a decision-making powerhouse, then dodge these all-too-common pitfalls. These mistakes can turn your dashboard from a help to a hindrance.

Don’t Botch the Charts : Picking the wrong visuals is like bringing a knife to a gunfight. Choose charts that make your data instantly understandable.

Skip the Clutter : Overloading your dashboard is a one-way ticket to Confusionville. Keep it streamlined and focused ( Microsoft ).

Color with Caution : Inconsistent colors are distracting and unprofessional. Stick to a cohesive color palette throughout your dashboard ( Microsoft ).

Show the Bigger Picture : Omitting variances and trends is like serving a cake without icing. Give your data the context it deserves.

Data Quality Isn’t Optional : Using sketchy or outdated data is a no-go. Ensure your data is reliable and current.

Use Slicers Sparingly : Don’t go overboard with slicers. Keep them to a minimum and only where they add value.

Consistency is King : Mixing fonts, colors, and layouts is a rookie mistake. Keep the design uniform across all pages of your dashboard.

By steering clear of these blunders, you’re on the fast track to building a Power BI dashboard that doesn’t just look good but is a bona fide decision-making tool.

Power BI is one of the powerful data visualization tools offered by Microsoft that enables users to create interactive visual reports and dashboards from their data. Power BI allows users to connect to multiple data sources and analyze data.

In the guide above, we have reviewed some of the best Power BI dashboard examples. Use of Power BI dashboards cut across multiple industries and can be used for several purposes.

Business leaders use Power BI dashboards to track sales and marketing, Key Performance Indicators (KPIs), human resource analytics, inventory, and more.

Business teams can collaborate on the same data, reports, and share insights across Microsoft Office applications such as Microsoft Excel and Teams. Users can promote insights across the organization while maintaining data consistency, accuracy, and security.

With intuitive Power BI dashboards and Power BI reports , businesses can visualize their data and uncover deep insights. The dashboard provides insights into business performance and answers to business questions. 

You should use Power BI dashboards to make data-driven decisions that will put your business in the driver’s seat. 

Tom loves to write on technology, e-commerce & internet marketing. I started my first e-commerce company in college, designing and selling t-shirts for my campus bar crawl using print-on-demand. Having successfully established multiple 6 & 7-figure e-commerce businesses (in women’s fashion and hiking gear), I think I can share a tip or 2 to help you succeed.

18 Best Power BI Dashboard Examples in 2024

• Reporting & analytics

Olga Cheban

Feb 29, 2024

Automate data exports from your source to Power BI with Coupler.io

From marketing and finance to logistics and project management, let’s explore the best Power BI dashboard examples. Our collection will help you understand what metrics to include, which visual elements to use, and even how to make your Power BI dashboard live.

18 best Power BI dashboard examples

Before we see the best dashboard examples in Power BI, let’s first clarify what we mean by “the best”.

A good dashboard must:

• be focused on a specific topic/goal
• cover the topic comprehensively
• be clear and easy to read
• offer interactivity
• include various filters
• be tailored to the audience.

A dashboard that meets these criteria can become an indispensable tool for monitoring progress, overseeing processes, and making data-driven decisions.

Now, let’s move on to the examples we’ve selected for you.

1. PPC Dashboard in Power BI

The first example in our collection is the automated PPC dashboard created by Coupler.io.

Here you’ll find insights into the amount spent on your advertising campaign and the other essential PPC metrics. This way, you can define how your ad spend correlates with the ad performance. 

You can analyze the performance based on the aggregated numbers or break down the report by a specific filter. This can be the ad type, campaign type, a particular campaign, or a data source from the following list:

• Twitter Ads
• LinkedIn Ads
• Facebook Ads
• Instagram Ads

The dashboard is available as a template. This means that you can connect it to your data sources and populate the dashboard with your data without any hassle.

Dashboard metrics:

• Amount spent
• Impressions
• Clicks 

Pros: 

• Interactive and customizable
• Can be automatically updated on a chosen schedule
• Includes different kinds of visuals 
• Overtime analysis available

Cons: 

• Additional metrics would allow for a broader analysis

2. SEO Dashboard in Power BI

Next comes the automated dashboard that enables you to analyze your SEO performance based on data from Google Search Console. The dashboard includes various visuals demonstrating how the results on the SEO metrics have changed over time. 

You can also check out the top pages by clicks or impressions, metrics by device, and the best- or worst-performing pages. With this performance data, you can analyze success factors and timely update pages that underperform.

• Indexed pages
• Pages with clicks
• Impressions 
• Average position
• Ability to schedule regular self-updates  
• Interactivity and customization
• Multiple ways to visualize your data 
• Historical analysis of metrics
• You can get automated data refreshes as frequently as every 15 minutes, minimum

3. Sales Dashboard in Power BI

This dashboard provides a comprehensive overview of a sales team’s efforts and their achieved results. The interactive funnel charts provide a visual representation of how leads transform into won deals, walking you through each stage of the funnel. 

It includes various filters that allow you to view data by country, sales representative, and lost reason. This, in turn, gives you an opportunity to explore your data from various angles. 

You can define which geographic regions bring the most results, which sales representatives are the most effective and those that may need help, and so on. You can also analyze the reasons for lost deals in different regions to devise countermeasures and adjust your strategy.

• Lost amount
• Funnel stages
• Comprehensive
• Automated, can be connected to multiple data sources
• Self-updating
• Interactive dashboard
• Includes filtered
• Clear and concise dashboard design
• Useful for sales analysis
• Some professionals might want to include more metrics to analyze sales performance

4. Sales Lead Overview dashboard

Here’s another dashboard that will be useful for sales teams. This Sales Leads Overview dashboard is a handy instrument that allows you to explore your customer base and gain insights to improve your results.

You can use it to analyze where your leads are coming from, track dynamics to manage your sales efforts, and make accurate predictions.

This Power BI dashboard is also automated. For example, it can collect data from Pipedrive and other apps so you can analyze it as one dataset.

• Leads per channel
• Leads by country
• Leads dynamic
• Lead quality
• Customer breakdown
• Includes different visuals (pie chart, interactive map, line graph, scorecards)
• Tailored for analyzing sales data
• A useful instrument for data-driven decision-making
• Handy for sales managers
• More filters could be added
• Conversion rates by different dimensions (channel, country, date period) can give more insights about the leads quality

5. KPI dashboard in Power BI

Below, you can see an example of a KPI dashboard. In this case, this dashboard is focused specifically on analyzing one of the main business KPIs (key performance indicators), MMR. 

This data visualization shows the current MRR value along with the other significant metrics, such as ARR and total sales for the current month. Apart from that, it allows you to explore MRR dynamics through time, tracking the changes over the course of several weeks. The line chart also shows the results for the previous month for comparison. The new MMR and churn MRR line graphs offer additional insights into the factors that contribute to changes in the MRR.

Such a dashboard will be useful for marketing and sales professionals, as well as product owners and other roles.

• Active customers 
• Sales this month
• Sales overview
• A very detailed overview of one metric, a strong focus
• Over time analysis
• Clear and uncluttered design
• Automated connection with data sources
• An ability to self-update on a schedule
• Allows to gain actionable insights
• The latest sales overview could be additionally presented as a map

6. Power BI financial dashboard

This dashboard allows financial professionals and business owners to evaluate financial performance, estimate the financial health of an organization, and keep track of the progress toward the company’s financial objectives. The dashboard includes the most relevant financial KPIs and metrics and can provide a solid basis for informed decisions.

It gives an in-depth overview of the income, expenses, and the profitability of the operations. The bar graphs and combo graphs allow you to analyze the metrics over time. You can compare actual income and expenses to the forecasted figures and see how this correlates with the planned budget.

• Gross profit margin
• Net profit margin
• Operating profit margin
• Total income by month
• Total expenses by month
• Includes the most important KPIs
• Communicates month-to-date and year-to-date statistics
• Well-tailored to conducting analysis
• Focused and informative
• Needs to be tailored to a specific case

7. Power BI business dashboard for an ecommerce store

This ecommerce dashboard is tailored to online stores and service providers. It gives a full picture of the sales funnel and includes a set of scorecards reflecting the most important ecommerce KPIs, such as conversion dynamics, user lifetime value, and more – all this, on a single dashboard. Keeping track of these numbers allows you to better understand how your website visitors are converting into customers. This, in turn, helps you identify potential issues and best-performing strategies to improve your store’s performance.

• Cart abandonment rate
• Total daily users
• Daily sales
• Total orders
• Average order
• Return rate
• Lifetime value
• Total sessions
• Funnel Overview
• All the main KPIs in one dashboard
• A handy tool for monitoring sales and conversion
• Helps analyze your metrics and obtain valuable insights
• Scorecards could be accompanied by icons and comparison with a previous period for easier reading at a glance

8. Power BI operations dashboard

This is a detailed operational dashboard showing the day-to-day operations of a customer support department. It allows the team and stakeholders to monitor the status of ongoing activities and make adjustments based on data. This dashboard is also automated with the help of Coupler.io and can display information in real time.

Of course, it can also be tailored to visualize data for other departments or for the whole organization.

In this case, the dashboard shows how many times users contacted the support department (open cases) and what channels they use most actively to reach out (channel popularity overview). The dashboard also allows you to track the performance of the team members.

• Customer satisfaction level
• Channels popularity rate
• Top case closers
• Closed cases
• New cases – weekly
• Comprehensive and informative
• Data is well-presented, includes a variety of different graphical elements (a gauge chart, bar chart, table, line chart, and scorecard)
• A good example of an operational dashboard
• Some professionals might wish to add more filters
• More metrics can be added, for example, how much time it takes to close a ticket

9. Power BI healthcare dashboard

This is a hospital emergency response dashboard. It collects information from the hospital administration and reports submitted by hospital staff. This data is then displayed in the dashboard in the form of graphs, tables, and scorecards. This allows personnel to instantly check information on available beds, equipment in use, and patient status. It’s a great tool to quickly estimate the situation and see what’s needed and what’s available across the facility.

• Total long-stay patients
• COVID patients 
• Equipment in use
• Supply by days on hand
• Nurse staffing management metrics
• Gives a concise overview 
• Provides separate reports for different areas
• All key metrics included
•  The design is a bit cluttered

10. Power BI inventory dashboard

Next, let’s see an example of an inventory dashboard created by Enterprise DNA. This dashboard was designed to enable organizations to manage their inventory efficiently. It allows you to track inventory costs and analyze trends. 

By looking at historical data, you can estimate how much new inventory you will need for the upcoming period. This helps ensure that all your outlets are properly stocked in time and are ready to meet the demand.

• Inventory value
• Total vendors
• Inventory restocking costs
• Inventory value by item name
• Inventory value by vendor
• Inventory purchased in the last 30 days
• A useful solution for managing your inventory
• Provides insights for optimization
• Allows tracking in real-time 
• enables you to monitor inventory 
• Allows you to analyze key vendors
• Can require some learning curve to conduct insightful analysis

11. Power BI executive dashboard

Our next example is the Executive Insights dashboard by Decisive Data. This dashboard can be useful for estimating business performance at a glance. You can quickly read the most important metrics and instantly see how well the company is doing and what drives the most profit.

The dashboard offers a holistic overview at the intersection of several key dimensions: order type, geographical distribution, period, and products. Also, importantly, it provides the right level of detail for the executive-level stakeholders, who typically don’t need to immerse themselves in the nuances of day-to-day operations.

This data visualization is designed to facilitate visual analysis. It’s equipped with a useful set of filters, provides hover-over details, and includes a variety of visuals (bar charts, line charts, donut charts, and custom visuals).

• Total profit
• Profit margin
• Total profit distribution
• Average order quantity
• Total order quantity
• Total revenue
• Top products by driving profits
• Useful hints to help you with analysis
• Each section answers a specific question
• A concise high-level overview
• Additional detailed information (hover over details)
• Useful set of metrics
• A more complete ranking of top products (not just the top 5) could give more insights
• Clearly stated date range is missing, especially for the scorecards

12. Power BI HR dashboard

This dashboard is created by obviEnce and is meant for human resources departments. It explores employee hiring and history, based on sample data.

This data visualization gives an overview of new hires, active employees, and employees who left the company. The main purpose is to reveal the dominating trends and uncover biases in your hiring strategy. As it explores the hires by age, gender, and ethnicity, using such a dashboard can be crucial for ensuring equality and implementing a balanced, unbiased approach to hiring professionals.

• Hires by type
• New hires by region
• New hires by age and gender
• Provides a useful overview of the hiring trends
• Allows for historical analysis
• Does not include information about professional experience level (junior/senior, etc.)
• Lack of filters to work with the information
• Lack of conversion data (how many candidates vs how many hires)

13. Power BI budget dashboard

This dashboard allows you to explore and analyze product budgeting in-depth. Using a variety of charts, graphs, tables, and helpful filters, you can monitor the main KPIs in real-time, track product performance, and plan budget allocation.

• Monthly budget
• Cumulative budget
• Product performance
• Top clients
• Top salespeople
• Budget allocation
• Analysis-focused visualization 
• A useful set of metrics
• The color palette is not contrasting enough. Different colors for different metrics would improve readability
• Slider for date range filter may be hard to use

14. Power BI project management dashboard

Efficient project management requires handling multiple contexts and taking into account dozens of factors. That’s why a really comprehensive dashboard should reflect this complexity, although in a simple visualization. 

This dashboard can help you manage projects and allocate resources effectively. The main focus here is on tracking project status, estimating at a glance whether everything is going according to the schedule, and allocating resources efficiently.

• Project status
• Schedule insight
• Cost insight
• Available resource
• Billable resource
• Resource occupancy
• A useful tool for monitoring project status
• Helpful in allocating resources
• Gives a concise and clear overview
• Will require significant tailoring for a specific organization and its goals
• Doughnut charts in this configuration can be confusing

15. Power BI marketing dashboard

There is a huge variety of marketing activities, from social media marketing and email marketing to comprehensive advertising campaigns. To make data-driven decisions, marketing professionals can use a whole set of dashboards for different types of marketing activities. In our example, we have a competitive marketing analysis report. It allows you to track how marketing efforts drive sales across different channels over time.

• Total sales
• Online sales
• Total sales by channel
• Clear design and easy-to-read palette
• Analysis-ready overview
• Tailored for marketing teams
• Will require adapting for a specific organization 

16. Power BI IT dashboard

The next example in our collection is an IT Spend Analysis dashboard. It provides an extensive analysis of the planned vs. actual costs of an IT department. A dashboard like this will help better plan expenses and track changes in IT spend over time.

This dashboard is an officially provided sample offered by the Microsoft Power BI team. So you can download this template and dataset and play around with numbers to see more.

• Planned IT spend
• Variance to the plan
• Spend amount by month
• Practice-oriented
• Allows analysis over time
• A handy planning instrument
• Clear design and clean layout
• More filters would allow for easier analysis

17. Power BI logistics dashboard

This logistics dashboard is designed for logistics managers. Its main purpose is to provide an easy-to-use visualization for monitoring the flow of goods and making informed decisions on allocating resources. It allows you to explore data related to your orders sorted by product, delivery method, and location.

• Number of Orders
• Number of Customers
• Orders by state
• Orders by month
• Orders by shipping mode
• Tailored for managing the logistics processes
• Interactive and easy to use
• Allows filtering by ship mode, period, and more
• More metrics and aspects would give a more accurate picture

18. Google Analytics Power BI dashboard

While Google Analytics provides you with native reporting capabilities, for some purposes, it can be useful to build your Google Analytics dashboard in Power BI. The reason for this can be the need to create a cross-channel dashboard or simply build a tailored report and calculate custom metrics. 

In the example below, you can see a Google Analytics dashboard built in Power BI. It shows website traffic data, along with insights on when and how users visit the site the most actively.

• Website traffic
• Hits by browser
• Average daily new users
• New users growth
• Concise and clear
• Well-designed
• Includes the key metrics
• Misses some useful information, like session duration.

How to automate your Power BI dashboard in three steps

To make your dashboard live, you need automation. This will keep your dashboard up-to-date and give you access to fresh data. In this example, we will explain how to do this using Coupler.io, a popular data analytics and automation platform.

Coupler.io is very easy to use: you don’t need any special knowledge for that. Any business user with no tech background can connect the needed data source to Power BI or another app in a matter of minutes. 

Let’s see how to do this in three steps.

1. Collect your data

Use the form below to select your preferred data source and click Proceed . You’ll need to sign up for Coupler.io for free with no credit card required. 

Then, connect your data source and specify what data you want to extract.

2. Preview and transform data

In the next step, you can check your data and make edits. For example, you can:

• Hide, rename, and rearrange columns.
• Add new columns.
• Split and merge columns.
• Use formulas and perform calculations.
• Blend data from several accounts or sources into one dataset.
• Sort and filter data.

Then, follow the instructions to connect your Power BI account. 

3. Schedule data updates

To make your data visualization self-updating, toggle on the Automatic data refresh and schedule your data exports. You can select an update interval from once per month to every 15 minutes. The latter allows you to monitor data in near-real time.

Finally, click Run Importer . After this, you can start working with your data in Power BI.

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What if the best Power BI dashboard examples are not enough?

We did our best to select top Microsoft Power BI dashboard examples that can be helpful for you. We hope they have given you enough information and inspiration to start building your own Power BI dashboard. This business intelligence tool and data visualization tool can be very helpful in performing data analysis. Its functionality, from a wide range of visuals and drill-down features to DAX capabilities, allow you to visualize your data with flexibility. Visualized Power BI reports can become important instruments for data-driven decision-making.

We also recommend checking our article on Data visualization best practices . This will help you to create an actionable dashboard while avoiding typical mistakes and benefitting from useful pro tips.

But what if you haven’t found what you’re looking for? While our dashboard examples cover a wide range of cases, still, every company and team has its own unique goal and challenges. In this case, you can request help from a professional data analytics team . They will help you build pro-level dashboards and reports and guide you through the main approaches to analyzing your data, understanding it, and eventually using it for data-driven decision-making.

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Top 10 Power BI Dashboard Examples + Free Template

Introduction

This handbook shares 10 purpose-built Power BI dashboards that follow design best practices, featuring unique datasets to provide inspiration for building and designing your own reports. It can be a great way to kick start the process.

You can also view the live version of each Power BI dashboard by clicking their corresponding header. Visit our Power BI content hub to view even more power BI examples for visualizations , themes , headers , and dashboard templates with live examples. ‍

We will cover three criteria to provide a high-level overview of each dashboard:

• The intended audience for the Power BI dashboard.
• The purpose of the dashboard.
• The key insights for the dashboard.

For reference, all the dashboards below were built using the Numerro Toolkit , allowing for an effortless build/design process whilst implementing design best practice every step of the way. Furthermore, the Toolkit includes all the dashboards as templates to assist you in getting started.

Power BI Dashboard Examples

1 - Finance Dashboard ‍ 2 - HR Dashboard ‍ 3 - Logistics Dashboard 4 - Social Media Dashboard 5 - Sales Dashboard 6 - Marketing Dashboard 7 - Customer Analysis Dashboard 8 - Customer Satisfaction Dashboard 9 - Executive Dashboard 10 - Website Analytics Dashboard Free Template

1 - Power BI Finance Dashboard

Intended Audience for Power BI Example Dashboard:

The finance dashboard was built as an executive-level report to showcase an organization's financial insights. As the intended users are executive-level employees, the dashboard presents high-level insights that allow users to easily scan the report. Users then have the additional option to dive into the granular metrics, should a high-level matrix trigger an insight worth exploring.

Purpose of Power BI Example Dashboard:

The purpose of the dashboard is to provide a high-level overview of the business's financial performance over time. Additionally, it allows users to dive into financial performance by location and product category. Both of these focus areas allow users to determine financial trends and areas of over/under performance. Users can then use these initial insights to determine where to focus their efforts.

Key Insights for Power BI Example Dashboard:

• KPI's - Revenue, Profit, Orders, Customers, Quantity: ‍ Provides a snapshot of the business's financial position
• Area Chart - Revenue over time (12 months): Helps users identify the seasonal flow of business
• Stacked Bar Chart - Revenue by region, split by product category: Helps users understand their financial performance by geography and category
• Table - Sub-category performance: Provides insights into how each product performs
• 100% Stacked Bar Chart - Revenue to Profit ratio: Provides a clear indication of their financial position based on a common accounting metric.

2 - HR Dashboard

The HR dashboard is for HR managers who want to understand the demographics of employees, keep up with new employees, and ensure they are meeting industries diversity standards.

High-level insights, including average salary, average duration, and average age, help the HR team understand who their employees are. These insights allow HR to better accommodate employees in future company decisions. Additionally, the insights help the HR team carefully craft a diverse workforce that meets the companies mission.

• KPI's - No. Employees, Av. Salary, Av. Duration at Company, Av. Age: To better understand the average employee profile
• Area Chart - New Employees per year: To measure the rate of recruitment
• Bar Chart - No. of employees by region: To uncover the geographical distribution of employees
• Table - Latest employees: To keep track of new employees

3 - Logistics Dashboard

The logistics dashboard is used by logistics managers to help them understand the flow of goods. The report also provides a view by product, delivery method, and location for further insights.

The purpose of the logistics dashboard is to help logistics managers with product flow. The dashboard identifies areas of high/low product flow to helps managers allocate resources in order to meet delivery standards and run a smooth operation.

Overall, this helps the organisation become more efficient by better utilising their resources, essentially saving them time and money.

• KPI's - No. Order, No. Quantity, No. Customers: To provide context relating to the scale of the operation.
• Decomposition Tree - Flow of orders by category and sub-category: To prioritize each products shipping process.
• Shape Map - Orders by state: Helps managers allocate resources based on demand.
• Matrix - Order by month, by shipping mode: Helps users better allocate resources throughout the year and prioritize shipping method development.

4 - Social Media Dashboard

The social media dashboard is for social media managers and is used to help them understand the high-level impact each of their social networks has on their audience.

The purpose of the report is to provide an overview of how the social media teams efforts are impacting the number of impressions over time. Additionally, the dashboard is designed to help identify the best performing social networks. In return, this helps the team better understand where to focus their marketing efforts.

• Ribbon chart - Impressions by month, split by platform: To help prioritize which platforms to focus on throughout the year.
• Table - Impressions by content type: To determine which content types perform the best.
• Stacked Column Chart - Impressions by quarter, split by platform.: To provide a high level view of impressions across the year to help resource allocation.
• Bar Chart - Impressions by platform: To determine the highest performing platform and prioritise accordingly (supports the below).
• Donut Chart - Impressions % by platform: To determine the split of impressions and prioritise accordingly (supports the above).

5 - Sales Dashboard

The sales dashboard was built for sales managers to help them visualize their sales data, including opportunity values, count and velocity.

The purpose of the dashboard is to help sales managers understand how the business is performing and where they need to focus their efforts if they are to meet their sales targets.

The dashboard provides sales managers with an overview of their sales to date, along with granular details relating to each opportunity. Additionally, all metrics are presented in a high-level format to help sales managers identify areas of focus.

• KPI's - Sales, No. Opportunities, Av. Opportunity Size, Av Velocity: Help managers gauge an overview of their current sales position
• Area Chart - Sales & Opportunities by month: Help managers measure the flow of deals by month in relation to targets.
• Donut Chart - Total sales split by marketing channel: Allow managers to identify which channels require additional focus based on performance.
• Clustered Bar Chart - Opportunities by sales stage, split by marketing channel: Helps managers monitor the flow of opportunities and assist with progression
• Bar Chart - Sales grouped by opportunity size: Helps managers understand the dynamics of their sales business

6 - Marketing Dashboard

The marketing dashboard was built for a banks marketing team to visualize a set of market research the bank carried out with its customers.

The purpose of the dashboard is to help a banks marketing team identify trends and patterns within a set of market research carried out with customers.

The dashboard provides the marketing team with a visual representation of their research, allowing them to spot correlations between various customer data points. These insights help them understand their customers and therefore learn how to better accommodate them.

• Scatterplot - Av. bank balance by age, split but education level: Helps the bank identify the profile of their more lucrative customers.
• 100% Stacked Bar Chart - Total subjects by education, split by marital status: Helps the bank better understand their customer demographics.
• Multi-card Row - Job type breakdown: Helps the bank better understand their customer portfolio, as well the more lucrative job types.
• Treemap - Av. bank balance by education level: Helps the bank target future customer, as they know which customer type is more valuable.

7 - Customer Analysis Dashboard

The customer analysis dashboard was built for the management of a food retailer to better understand their customer's demographics and how these impact their relationship with the retailer.

The purpose of the dashboard is to help the food retailer understand which type of customers are more valuable, and which ones are less valuable. These insights allow the retailer to focus their efforts on specific customers that provide a higher ROI.

• KPI's - Av. Age, Av. Duration as Customer, Av. Income, Av. No. Purchases, Av. 2y Spend: These insights allow the retailer to understand their average customers activity.
• Scatterplot - Correlation between age and average 2y spend: Profiles the retailers customers by spend and age, helping them spot more lucrative customer demographics for future targeting.
• Matrix - Customer breakdown by age: Provides insights into how a customers age impacts their activity with the retailer.

8 - Customer Satisfaction Dashboard

The customer satisfaction dashboard was built for the management of an airline company to help them understand insights collected from customer feedback surveys.

The purpose of the dashboard is to help the airline understand how customers rate the service provided. The insights allow the airline to determine whether they are improving their service with customer expectations. Additionally, it helps them better understand how specific service offerings are performing in regards to customer satisfaction.

• Gauges - Users, Av. Score, Av. Delay: Provides the airline with benchmark stats that gauge the overall satisfaction levels vs targets.
• Stacked Bar Chart - Participants by satisfaction level, split by class: Helps the airline identify the performance of service offerings on customer satisfaction, allowing them to better prioritise resources to high/low performing areas.
• Line Chart - Av. Customer Rating by Class and Year: Helps the airline identify how decisions impact the level of customer satisfaction over a period of 8 years.
• Table - All stats by year: Supports the above on a granular level.

9 - Executive Dashboard

The executive dashboard was built for executive level employees to understand how their business has performed year to date.

The purpose of the dashboard is to provide a snapshot of the businesses performance, focusing only on high-level insights that are easily digestible. The aim is for executive level employees to track key metrics and gauge whether a deep dive is necessary to improve/sustain a certain performance metric.

• KPI's - COGS, Profit, Discounts, Av. Unit Cost High-level snapshot of key metrics
• KPI/Area Chart - Sales, Units Sold, Av. Sales Price, Av. Units Per Order High level snapshot of key metrics + monthly trend for further visual representation

10 - Website Analytics Dashboard

The website analytics dashboard was built for a companies marketing department to understand how customers were interacting with their website.

The purpose of the dashboard is to collect website analytics data a present it in an easier format to help the marketing team digest key insights about how their customers are interacting with their website.

The aim is to showcase key KPI's that help gauge how the website is performing against benchmark metrics. It also uncovers which pages perform better than others so that the team can improve their customers website experience.

• KPI/Area Chart - Pageview, Unique Pageviews, Bounce Rate, Exit Rate: Key stats to gauge performance vs benchmark stats
• Clustered Column Chart - Pageviews/Unique Pageview by month: To understand how their website performs throughout the year, which they can use to identify the effectiveness of marketing campaigns.
• Donut Chart - Pageviews split by year half: High level view of the above insight.
• Table - Exit Rate & Pageviews by Page: Uncovers how specific pages perform to help the marketing team optimize user experience.

Free Demo Template

If you're looking to get a feel for how we've built the reports above, why not try out our demo template . The demo template and dashboards above were all built using the Numerro Toolkit . We built the Toolkit to make it easier and faster for Power BI users like yourself to build great looking reports that reap the benefits of implementing design best practice. If you're interested in learning how it works, check it out here .

Ready to improve your reports? Get free access today.

Additional guides.

The Complete Guide to Power BI Themes + 12 Examples

Learn how to use themes in Power BI, including creating custom themes, themes examples and free themes to help get you started.

The Complete Guide to Designing a BI Dashboard Mockup

Create a dashboard mockup for BI reporting that is well designed and communicates the right information.

The Complete Guide to Power BI Visuals + Custom Visuals

Learn how to pick, position, size, and design standard/custom Power BI visualizations in your report.

Additional Blog Posts

10 Must Have Power BI Visuals

The 10 must have Power BI visuals.

Power BI Dashboard Design Best Practice

Power BI dashboard design best practices.

Why You Need Well Designed Power BI Reports

Much needed Power BI design principles.

Additional Tips

Supporting Text

Including supporting text in Power BI can improve the user experience.

Adding Numerro as an External Tool in Power BI Desktop

Using External Tools in Power BI Desktop to increase productivity and speed up the report building process

Sizing is About Hierarchy

Size your Power BI visuals appropriately. High-level data should be small.

15 Power BI Projects Examples and Ideas for Practice

Master Power BI Skills By Gaining Hands-on Experience on These Amazing Power BI Projects in 2022 | ProjectPro

Preparing for your next BI developer interview? Check out these Power BI projects that will blow your mind with Power BI’s interactive dashboards, exceptional graphs and charts, and many more features.

We will look at some intriguing sample Power BI projects in this blog to help you better understand the role of Power BI in Data Science and how it can help businesses thrive.

Table of Contents

What is power bi, what is power bi used for, how to do visualization in a power bi project, 15 power bi project examples , 1. customer churn analysis, 2. product sales data analysis, 3. marketing campaign insights analysis, 4. financial performance analysis, 5. healthcare sales analysis, 6. anomaly detection in credit card transactions , 7. automl cashflow optimization for insurance company , 8. global health expenditure analysis, 9. loan application analysis, 10. movie sales visualization, 11. airport authority data analysis, 12. covid-19 insights analysis , 13. construction permit data analysis, 14. global energy trade analysis, 15. life expectancy data analysis, 16. twitter analysis dashboard, 17. ott media dashboard, 18. adventureworks database analysis, retail analysis power bi report example, global covid-19 analysis power bi report example, inventory stock analysis power bi report example, cancer analytics power bi report example, customer analysis power bi report example, master data visualization with these power bi projects.

• What projects can I do with Power BI?
• How do you practice Power BI?
• Where can I get practice data for Power BI?

Microsoft Power BI is a Business Intelligence service that enables you to create visually rich and interactive dashboards and reports based on the raw business data acquired from various sources. Apart from the variety of apps, connectors, and services offered by Power BI, there are three basic elements integrated into Power BI- 

Power BI Desktop (a desktop version),

Power BI Service (an online SaaS service), and

Power BI Mobile Applications for several platforms.

Business users utilize these services to collect data and generate BI reports. These three components are all meant to assist in building, exchanging, and leveraging business insights in the most efficient way possible for any business. Some of the benefits of leveraging Power BI include-

Easy Interaction with Existing Applications: Power BI makes it far easier to implement analytics and reporting abilities since it seamlessly connects with your current business environment.

Customized Dashboards: The information dashboard can be tailored to meet the demands of a company. The application can simply include Power BI dashboards and reports to create a smooth user experience.

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling . Data models created in R may be easily integrated into Power BI dashboards and turned into visualizations.

No Storage or Performance Limits: There are no memory or speed constraints when migrating an existing BI system to a robust cloud environment with Power BI integrated, ensuring that data can be fetched and analyzed efficiently.

Securely published reports: Power BI enables automatic data refresh and publishes reports securely, allowing users to access the most up-to-date data.

New Projects

There are various tools and techniques for analytics and machine learning in the fascinating and extensive realm of data science. Power BI is a high-level, all-in-one solution for data analytics in data science. Data science aids in the discovery of relevant and productive trends and insights. It involves analyzing the data and also assists us in identifying entirely new features in it. Business intelligence is sifting through data to extract meaningful organizational ideas and insights. BI enhances and strengthens the business infrastructure to get desired or projected results.

Many data sciences and analysis tasks can be automated with Power BI, eliminating the need for spreadsheets and static presentation tools. One of Power-most BI's most impressive features is its ability to create stunning visualizations. The software is packed with excellent and eye-catching visualization templates. The integration of Power BI into Data Science holds great importance for businesses. This allows for smooth and effective data visualization, which plays a vital role in an organization’s success. 

With the help of Power BI, visualization in Data Science can be taken a notch further. Businesses and Data Scientists rely heavily on Power BI-aided data visualization for various projects. Numerous visualization types and charts are available in Power BI for creating effective visualization for data science projects .

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There are two ways to generate visualization in Power BI. First, add items to Report Canvas from the right side pane. Another way you can do this is by dragging the fields from the right sidebar to the value axis under Visualization. By default, Power BI selects the table type visualization. To each axis, you can add as many fields as necessary. You can also click and drag your visualization to rearrange it on the reporting panel. You can easily toggle between various charts and visualizations from the Visualization window. Your specified fields are transformed to the new visual format as accurately as possible.

Let us now understand how one can perform data visualization in Power BI.

The first thing you need is data. Power BI can connect several data sources- Excel, Web, etc. The options from which data can be imported into the Power BI desktop are all visible once you click the Get Data icon. You can view the data in the Fields pane once it has been loaded.

After loading the sample data into the Power BI desktop, you can modify it with the help of Query Editor. Regardless of the data source, query editors are helpful for editing datasets . In the query editor, you can perform changes like renaming a dataset and removing one or more columns, among other things.

In Power BI, removing columns from the dataset or modifying the data types in the columns is relatively easy. You can remove columns by simply choosing the Remove Columns option after selecting the desired column. Likewise, the query editor makes it simple to perform a wide range of actions like removing and adding rows, transposing, pivoting, and splitting.

Once the dataset is complete and has undergone all necessary modifications, you can move on to creating the dashboard. Both bubble and shape maps are available for map visualizations in Power BI. To plot measure values, Power BI offers several combination chart types. Suppose you want to display overall sales and revenue on the same chart. The ideal option for this type of scenario is combination charts.

You can change the colors in the charts in BI dashboards. There is a color selection option when you choose any visualization.

Additionally, the application has an analytics feature that allows you to draw lines for data visualization according to your preferences. Power BI also has the option to add various shapes, texts, and images when visualizing data.

This blog lists 15 Microsoft Power BI projects for you. We have categorized these Power BI examples into beginner, intermediate, and advanced levels. You can choose any of these power bi projects for practice to upskill yourself in the Data Science domain. 

Beginner-Level Power BI Project Basic Examples

In this section, we have included some Power BI projects for students. These simple Power BI projects will enable you to understand business intelligence applications and build a successful career as a data scientist.

The customer churn analysis project is one of the easiest and most popular Power BI sample projects. Customer Churn Analysis reveals regional customers' product sales and profits. Analytical users can use it to analyze regional business growth across geographies to gain valuable insights and distribute profits among customers. They can receive extensive data by using the right visualizations and data structure. The project includes regional cash inflows and product-specific customer churn over time.

For this beginner-friendly project, use the customer segmentation dataset available on Kaggle. In the analysis overview page, you could use Combo Charts, Cards, Bar Charts, Tables, or Line Charts; for the customer segmentation page, you could employ Column Charts, Bubble Charts, Point Maps, Tables, etc.

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Businesses must keep detailed records of their sales for a variety of reasons. However, if there is too much data, it often becomes difficult to keep track of everything. Analyzing sales data allows companies to keep track of their sales and answer all critical questions regarding their performance.

This sales data analysis project entails analyzing a company's sales data and indicating profit by product, sales, and other significant factors that might influence the company's performance. You can use Microsoft's sample dataset . The data set must be connected to Power BI Desktop to remove irrelevant data before visualizing and exporting the filtered data as dashboards. The dashboard could leverage Power BI visualization types such as Pie Charts, Bar Charts, Doughnut Charts, Funnel Charts, etc.

The project idea is to showcase the efficacy of various marketing campaigns and the performance of product groups and platforms using any marketing analytics dataset. This project is an excellent approach for a marketing manager to assess the success of marketing campaigns.

Use the Marketing Analytics dataset available on Kaggle for this beginner-level project. For the data visualization dashboard, you can explore many of the Power BI visualization types, such as Bar Charts for category-wise expenditures, Column Charts for campaign success rate, Smart Narratives for displaying the key highlights of the campaign, Bubble Charts for customer-wise spending, Cards for showing individual data insights, etc.

Financial performance analysis is one of the most intriguing Power BI project ideas for beginners. This business intelligence project approach is based on optimizing financial analysis for a firm that provides accounting services to clients who seek timely delivery of critical financial reports. You can set up the analysis to quickly access reliable financial data. The project might be used to: migrate traditional financial reporting from Excel to current BI dashboards and provide customers with an effective tool to track their financial health and productivity.

Refer to the multi-company financial dataset available on Kaggle. You can leverage Power BI data visualization in this project for three different cases-

- for the summary/overview page, you can use Funnel Charts, Combo Charts (Column Charts, Line Charts, Waterfall Charts); 

-for the income statement page, you can use Cards, Funnel Charts, and Combo Charts (Line Charts and Column Charts); and

- for the balance sheet page, you can use Cards and Tables.

This business intelligence project idea enables those in the Animal Healthcare sector to efficiently track the sale of products dedicated to treating minor animal species. Businesses may instantly compare product sales in top-ranking and bottom-ranking cities. The project could generate a thorough report on therapeutic group-wise sales and the sales trends for any specified period.

You can refer to the pharma sales dataset available on Kaggle. For the data visualization on Power BI, you might use Tables for displaying the therapeutic group-wise sales, Column Charts for monthly sales trends; Bar charts for top and bottom-ranking cities; and also, you can include Treemaps, Cards, Smart Narratives, etc. You can also check out the Microsoft Power BI community for some beginner-friendly power bi project examples.

Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

Intermediate-Level Power BI Project Ideas

If you’re already well-versed with the Power BI data visualization tool and are willing to strengthen your data analytics skills further as a Data Scientist, here are some power bi projects for resume-

The first Power BI project idea we have come up with is Anomaly Detection in Credit Card Transactions. Anomaly Detection is a machine learning technique for detecting unusual things, events, or observations that differ considerably from the rest of the data and look suspicious. You can implement this machine learning method in three ways- supervised (for labeled datasets), semi-supervised (for normally trained datasets), and unsupervised (for datasets without any labels).

For this project, you can use the credit card dataset by Delaware available on their open data platform itself or the credit card fraud detection dataset from Kaggle. You must first import the dataset into the Power BI desktop, maybe via a web connector. You can then leverage Power BI to train your anomaly detector or use a pre-trained model. To label outliers in Power BI, you'll need to run a Python script in the Power Query Editor and use the get_outliers() method. Finally, Power BI Dashboard can be used to visualize it. You could also train your anomaly detection model in any IDE or Notebook and then pass it to Power BI for labeling. You can do the data visualization in the Power BI dashboard with the help of Line Charts, Bubble Charts, TreeMaps, etc.

Automated machine learning (AutoML) is the technique of automating machine learning's time-consuming, iterative processes. It enables data scientists and analysts to rapidly create machine learning models while retaining model quality. Any AutoML solution's ultimate goal is to identify the optimal model based on performance metrics.

In this business intelligence project, you can work with the medical cost personal dataset from Kaggle. The business problem involves an insurance company that wishes to improve its cash flow projections by precisely estimating patient charges through demographic and primary patient health risk variables at the time of hospitalization. The first step is accessing Power BI Desktop, loading the dataset, and replicating it. The Python script may then be executed in Power Query, where the compare_models() method can be used to train different models, compare them, and evaluate their performance data. You may also use the automl() function to find the best-performing model out of all of them. For the resulting dashboard, you can leverage Power BI dashboard features such as Bar Charts, Bubble Charts, Tables, etc.

One of the most helpful Power BI project ideas is the Global Health Expenditure Analysis. This project idea is based on implementing clustering analysis in Power BI using PyCaret. Clustering is a method for bringing data items together that have similar features. These classifications help study a dataset, detect patterns, analyze data, and data clustering help in identifying underlying data structures.

In this case, use the current health expenditure dataset from the WHO Global Health Expenditure database. From 2000 to 2018, the dataset includes health expenditure as a percentage of national GDP for over 200 nations. Also, you could use the K-Means clustering algorithm for the clustering analysis. Visualize the cluster labels in Power BI Dashboard to gain insights after you have loaded the dataset in Power BI Desktop and trained your clustering model in Power BI. For the summary page dashboard, you might choose visualization chart types such as Filled Maps, Bar Charts, etc., while for the detailed visualization, you can use Point Maps.

This project concept entails evaluating loan application data to find abstract 'topics,' which are then used to assess the impact of specific topics (loan types) on the default rate. It is based on implementing the Latent Dirichlet Allocation (LDA) topic model in Power BI. Topic modeling aims to automatically analyze a collection of documents and determine their abstract ‘topics’.

For this project, you can use the Kiva dataset on GitHub, which covers loan data for 6,818 accepted potential borrowers. The loan amount, nationality, gender, and some text data from the borrower's application are included in the dataset. Once you have loaded the dataset in Power Bi desktop, trained your model, and the topic weights are added to the original dataset in Power BI, you can visualize it in the Power BI dashboard by employing the Word Cloud feature, Pie Charts on basic maps, Bar Charts, Scatter Charts, etc.

The movie sales visualization project is one of the most exciting Power BI project ideas. This project aims to take a dataset that shows movie sales over time and turn it into an interactive visual experience. You can use the IMDb dataset for 2006 to 2016, available on both IMDb and Kaggle. The dataset includes a list of movies having an IMDb score of 6 or higher and the parameters Budget, Gross, Genre, and Scores. 

You can create a custom Radial Bar Chart and use Slicers to pick Genre, Country, and score range to be integrated directly into PowerBI. This would display parameters such as Average Score and Gross Collections for the selected set. Plotting a Histogram on the score variable using year and genre as slicers will show the frequency distribution of the IMDb scores. A KDE plot can provide a density graph and insights into the average rating for a specific genre and distribution for a given timeframe.

Advanced-Level Power BI Project Ideas

Lastly, we have listed some of the best power bi projects for professionals who need some interesting power BI projects with dataset to try their hands on. 

The Airport Authority Data Analysis project aims to provide a clear picture of all the significant airport data. The total number of flights (incoming and departing flights), the total number of flight delays (arrivals and departures), ground processing time, and the passenger feedback section can all be included in the summary page of this project’s dashboard. In case of flight changes, emergencies, or delays, this analysis could assist airport management authorities in making timely data-driven choices.

For this project idea, you can use the Airline delays and cancellation dataset available on Kaggle. The dataset includes multi-year airline data from 2009 to 2018 to provide more time-series insights. For flight analysis, you can use Power BI visualization options like Cards, Bar Charts, Flow Maps, TreeMaps, and Tornado Charts. For passenger feedback, you might prefer to use Bar Charts, Column Charts, or Cards.

Covid-19 Insights Analysis is one of the most popular Power BI project ideas among individuals. The project aims to thoroughly overview the Covid-19 pandemic's essential parameters, the latest situation, and detailed country-level evaluations. You can create a dashboard that gives valuable information regarding cases (active, deceased, or recovered), mortality, and recovery rates by nation and timeframe. Also, the dashboard might even include a management summary of the most important KPIs and a thorough analysis of individual report pages.

Refer to the Covid-19 dataset available on Kaggle for this project idea. As for the Power BI data visualization features, you can use- Bar Charts, Point Maps, Line Charts, and Column Charts for the overview page; Doughnut Charts for category-wise case analysis; and Decomposition Trees for country-wise case analysis. You might also use Heat Maps to enhance your project’s dashboard visualization.

Explore Categories

The project idea is to help construction firms better understand the industry by allowing them to dig deeper into the specifics and research relevant incidents. You can focus your project on details such as investment growth over time, investment concentrations in specific areas if the investment is impacted by Category, Contractor, or Individual, market status, and which categories, individuals, and permits are driving the market.

For this project idea, use the Seattle building permits dataset from Kaggle. You can perform  Power BI data visualization with the help of Regional Maps, Pie Charts, Bar Charts, Tables, Cards for the main page, Bar Charts, and Line Charts for depicting contractor competitions and category-wise growth, etc.

One of the most unique power bi projects ideas is the Global Energy Trade Analysis. This project concept includes various topics concerning global energy exchange and production. It addresses several topics, such as the expansion of wind energy, energy consumption as a different basis for comparing national economies, etc.

For this unique project idea, use the international energy statistics dataset from Kaggle. The resulting dashboard could display total energy statistics on production, exchange, and usage of primary and secondary energy, conventional and non-conventional energy sources, and new and renewable energy sources. For the dashboard, you can use Power BI visualization types such as Bar Charts, Flow Maps, Cards for the overview page, Ribbon Charts, Treemaps, Bar Charts for the energy production and exchange pages, etc.

This project will analyze life expectancy data by looking at factors such as immunizations, mortality, finances , social factors, and other health-related issues. It will make it easier for a country to identify the predicting factor contributing to a lower life expectancy value. This will also aid in recommending to a country which areas should be prioritized to effectively raise the population's life expectancy.

Use the life expectancy dataset by WHO on Kaggle for Life Expectancy Data Analysis. Power BI visualization types such as Gauge Charts, Pie Charts, Line Charts, and Point Maps can be used for the overview page, while Tornado Charts, Doughnut Charts, Treemaps can be used for depicting country-wise data, etc.

Power BI Projects Github

Here are a few unique project ideas from GitHub that will help you better understand the various applications of Power BI.

This project entails implementing an end-to-end Twitter data analysis/ETL pipeline. For this Power Bi project idea, use the Twitter data from Github . After extracting the data, you will transform it from JSON to CSV and create all the necessary derived attributes. You will then use NLP analysis to classify the tweets' content and determine their sentiment score. Once you finish the ETL process, you can move on to visualize your data using Power Bi reports. For creating the dashboard, you will use pie charts, bar graphs, line charts, tree maps, doughnut Charts, etc.

This unique Power BI project entails visualizing various information related to multiple OTT platforms such as Netflix, Hotstar, Amazon Prime, etc. You can access this project's entire OTT media platform dataset from Github. Use the Query Editor in Power BI for data cleaning and preparation. Once your data is ready for visualization, you can display the visuals using various plots, graphs, cards, etc.

Suppose you have learned all the basics of Spark. What’s next? Start exploring ProjectPro’s repository, where you will find different Spark Projects for Practice.

You can work with the AdventureWorks data available on GitHub for analysis & visualization. Perform the query editing in Microsoft SQL Server Management Studio and use Power BI for the visualization part. Also, use MS Excel and Power BI's query editor for analysis.

Power BI Report Examples

Below are a few interesting Power Bi report examples to help you understand the power of data visualization using Power BI.

The retail analysis report presents a dashboard that analyzes product sales data from various retailers across various regions. The metrics include new-store analysis and a comparison of this year's performance to last year's in terms of sales, units, gross margin, and variation.

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With interactive visualizations based on readily accessible data, the Global Covid-19 Analysis Report contributes to fully disclosing COVID-19 trends worldwide. The report includes maps showing Vaccinations, Progress to Zero, Rt, Spread Analysis, Testing, and Risk Levels.

The inventory stock analysis report contains additional details on stock inventory and represents an analysis of stock inventory for 2018. Using this dashboard, you can forecast "Availability of Stock" and "Time to Replenish Stock" using information from the fulfillment cycle and markdown variance.

The Cancer Analytics report offers a brief overview and a thorough analysis of cancer patients in the US. It enables you to evaluate the mortality rates of each type of cancer, divided according to several factors. You can use the Cancer Analytics Dashboard to make well-informed decisions about the growing number of cancer patients in America.

The Customer Analysis Report highlights product sales and profit for local customers. It can be helpful for analytical users to gain valuable information on customer profit distribution and business growth across areas. The main highlights of the Customer Analysis report dashboard are the region-specific cash inflow and the clients' product-specific turnover.

These real-time power bi projects will help beginners and professionals upskill and master the ability to integrate business intelligence into Data Science. By working on these project ideas, you will gain a deeper understanding of leveraging Power BI for a data-driven approach to various data science industries and becoming job-ready. In case you are looking for some free Power BI projects for practice with solutions, you can head to open-source platforms like GitHub or Kaggle . ProjectPro offers more than 250 end-to-end project solutions around Data Science and Big Data, including some interesting data visualizations. 

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization

FAQs on Power BI Projects

1. what projects can i do with power bi.

Some of the projects you can do with Power BI are

Energy Trade Analysis

Covid-19 Analysis

Customer Churn Analysis

Movie Sales Visualization

2. How do you practice Power BI?

You can practice Power Bi by working on some unique and easy real-time Power BI examples available on ProjectPro, Github, Kaggle, etc.

3. Where can I get practice data for Power BI?

You can get practice data for Power BI in the platform itself, as the Power BI service has pre-built samples available.

Sign in to the Power BI service.

Browse to the workspace where you want to install the sample, whether it is My Workspace or another.

Select ‘Get data’ in the bottom-left corner. Choose Samples from the Get Data page that appears.

About the Author

Daivi is a highly skilled Technical Content Analyst with over a year of experience at ProjectPro. She is passionate about exploring various technology domains and enjoys staying up-to-date with industry trends and developments. Daivi is known for her excellent research skills and ability to distill

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Must-have Power BI Templates with Samples and Examples

Neha Parmar

Data is essential for businesses in the modern world as it affects the quality of their products and services. Therefore, businesses need potent platforms like Power BI to analyze and use data effectively. These platforms can turn data into insights, reports, and visualizations that help organizations make better decisions.

For example, a large retailer can use Power BI to track sales trends across different stores, optimize stock levels, and improve customer satisfaction and profits.

Who uses Power BI and harnesses its potential?

A diverse range of professionals and industries use Power BI.

•   Business analysts
•   Data scientists
•   Executives
•   Sales and marketing teams
•   Healthcare organizations 
•   Government agencies and more 

Templates for Data Driven Insights and Solutions

Creating a comprehensive PowerPoint Power BI Template can be time-consuming and costly. However, there's no need to worry! Our dedicated team at SlideTeam has meticulously crafted 100% editable and customizable Powerpoint Templates that are content-ready and effortless.

With these Templates, you can swiftly transform your business into a recipe for success. So, why wait any longer?

Let's dive into our Power BI Template collection and unlock your business's potential!

Template 1: Power BI PPT Template

Discover this ready to use PPT Template designed to complement Power BI. This premium Slide offers a unique perspective on your business growth. From company growth trends and forecast benefits dashboard to social media analysis and employee sick data, Power BI empowers businesses to delve into every facet of their operations. Moreover, it extends its utility to diverse sectors, such as legal, IT services, and project management, making it a versatile asset for any industry. Whether displaying a firm's sales, showcasing revenue and expenditure, or conducting in-depth sales analysis, Power BI delivers actionable insights to drive growth, efficiency, and profitability in a rapidly evolving business landscape. Click the download button to get it.

Download Now!

Template 2: Power BI Report Development Workflow Template

Are you looking for a streamlined Power BI report development workflow that ensures efficiency and security for your end-users? This comprehensive process includes steps such as evaluating data for the data model, selecting report design, preparing and sharing report. It also involves analyzing requirements and considering DAX (Data Analysis Expressions) measures to set the foundation. You will also be able to focus on branding, adding visualizations, and modifying the report to enhance its visual appeal and effectiveness using this Template. As you progress to the third step, security takes center stage, where you ensure row-level security, configure the Q & A feature, design the workplace, and prepare for the final report's publication. Finally, in the last stage of development, set up data gateways, reinforce row-level security, and share the app with the general public, completing the robust Power BI development workflow.

THE KEY TO INNOVATION AND GROWTH

Our Power BI Templates make it easy and fast to create stunning data-driven presentations. You can choose from various pre-made and customizable slides that will help you showcase your data and make informed decisions. No more wasting time on design details; focus on delivering robust, professional presentations. Discover our Power BI Templates now and see how they can transform your data into actionable insights.

FAQs on Power BI

What power bi is used for.

Power BI helps you discover and share insights from data, no matter your level of expertise. You can use Power BI to:

• Build reports and dashboards with different visuals to show data in various ways.
• Connect to and transform data from different sources, such as Excel files onsite or cloud-based databases, and get insights from them
• Choose from a variety of visuals to display data, such as pie charts, trees, gauges, KPIs, combo charts, bars, columns, and ribbons
• Give everyone in your organization access to data, visualization tools, and insights to foster a culture of data-driven decision-making

What are the 5 components of Power BI?

The five key components of Power BI are:

• Power BI Desktop: Users produce reports, develop data models, and design graphics using this as their primary authoring and development tool. A large amount of data manipulation and report production are both possible with this Windows application.
• Power BI Service (Power BI Online): Also referred to as the Power BI cloud service, this part enables you to share, collaborate, and publish reports and dashboards made in the Power BI Desktop. Through web browsers, it provides features like sharing, teamwork, and data discovery.
• Power BI Mobile: Users can access and interact with reports and dashboards while on the road, thanks to Power BI's mobile apps for iOS and Android smartphones. It provides an intuitive and responsive mobile experience.
• Power Query: Power Query is an integrated data transformation and connection tool for Power BI Desktop. Users can connect to different data sources and perform operations such as data cleansing, shaping, and transformation to prepare the data for analysis.
• Power BI Gateway: A Power BI Gateway is needed to link on-premises data sources to the cloud-based Power BI Service. Reports are current and accurate since they enable data refreshes and maintain on-premises data in the cloud.

What are the features of Power BI?

There are some features of Power BI which mention below: -

• Data visualization: Produce eye-catching visuals for data.
• Data modeling: Create connections across data tables for intricate analyses.
• Interactive Dashboards: Real-time, filterable, and drill-through dashboards.
• Natural Language Query (Q&A): Ask inquiries in everyday language for insights.
• Connectivity to data sources: Access various data sources for analysis.
• Power Query: Simple data cleansing and transformation.
• DAX (Data Analysis Expressions): Create custom calculations and expressions.
• Advanced Analytics: R and machine learning integration.
• Personalized graphics: Use or design individualized graphics for reports.
• Mobile Accessibility: Use mobile devices to access reports and dashboards.
• Collaboration and sharing: Controls and access management for sharing.
• Scheduled Data Refresh: Automatically update reports.
• Row-Level Security: Roles-based access control for data. 
• Auditing and Observation: Monitor consumption and guarantee governance.
• Power BI Embedded: Integrate reports into unique software or websites.

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Power BI Story in PPT Slides with Comments

This is not story of Power BI in Power Point slides. This post is about how to use Power Point integration with Power BI for story telling of Power BI reports and dashboards through slides, and also give some users features such as commentary. This features is not a new feature, it has been released almost a year ago! but because many people still are not aware of such feature, I intended to write about it in a post. In this post you will learn;

• Enabling Power BI Power Point Integration
• Pin Live reports and dashboards elements in Power Point Slides
• Using Power Point and Power BI from storytelling with commentary feature

If you want to learn Power BI, read Power BI online book; from Rookie to Rock Star .

Prerequisite

Dashboard and reports used in this example are sourced from Power BI Desktop; The First Experience .

Power BI Tiles

Power BI Tiles is an add-in for Excel, Power Point and few other Microsoft Office products version 2013 SP 1 or later. This component is developed by DevScope . Please note that this is not Microsoft built-in feature. However it can be used easily with Microsoft Power BI and Power Point. This component enables Power BI reports and dashboard elements to be pinned in Power Point slides. Download this component and install it from there, or from your office project.

Installation

Open Power Point, create a blank slide deck, then insert a BLANK slide, and from Insert menu option, click on My Add-ins

From My Add-ins you might see Power BI Tiles if you have installed that before. otherwise go to Store tab, and search for Power BI

After adding this add-in you will be ask to enter Power BI account related to this, and also authorizing Power BI tiles to access reports and dashboards in your Power BI cloud storage. After authorization you will see a box including list of dashboards in your work space will appear.

Adding Power BI Tiles to Slides

This box is Power BI Tile added to your slide. You can select any of dashboards you want. for this example I use the dashboard which is related to Pubs Data Analysis Demo I’ve done before. After choosing a dashboard you will see one of its tiles appear here.

This is only one of the tiles in the existing dashboard, You can navigate between tiles by two navigator arrow buttons highlighted above.

Here is the dashboard in full view in Power BI service. as you can see in Power BI Tiles add-in we can navigate between tiles individually.

Once you chose the tile, you can leave it there. It is already embedded into your Power BI slide. You can now add another Power BI Tile, again from My Add-ins and this time Power BI Tiles is there. Note that you can build similar dashboard here in Power Point with adding each item as a tile.

Storytelling with Power BI and Power Point

You can see here that I’ve added a title for this slide in Power Point, and also a Textbox with text “Psychology has the most sales”. Yes, with this method you can add commentary to Power BI reports and dashboards, you can tell the story behind the data with integration of Power BI and Power Point. very simple feature but really useful.

Under each Power BI tile in Power Point there will be a link to Power BI

When you click on this link, it will open that Power BI dashboard or report in a browser. This provides you the navigation from a high level story point to the detailed report in Power BI service.

Images or Re-Loaded Tile Feature

By default Power BI Tiles are interactive tiles that can be refreshed and clicked, highlighted, and interactive. However if you want them as an image only tile, you can choose it from top right hand side of Power BI tile.

Working with other Work Spaces

You can navigate to all other work spaces that you are part of, and see all reports and dashboards under it. by default Power BI Tiles will look into “My Workspace” (named as Personal Workspace), but you can change it from the top side of Power BI Tile.

You can also bring a Power BI public report ( a report that is published to web ) into a tile

Reports in Tile

If you choose dashboard, then you can pick one element of dashboard in each tile. but if you choose a report. For example “Pubs Analysis” report we’ve built in another example , then you will see the whole report in tile, with all report pages, and filter pane.

The view of report is fully interactive here. For example if you hover on something or click on something you will see it responds like any other Power BI reports (but in Power Point slide)

Power BI and Power Point integration helps to tell story behind the data much easier. You have presentation and story telling features of Power Point, plus interactive visual, refresh-able from cloud features of Power BI.  Good news is that Microsoft team is working on another integration feature named “ Export to Power Point ” which will be released very soon I believe. I’ll put together another post when that feature comes live.

6 thoughts on “ Power BI Story in PPT Slides with Comments ”

• Pingback: PowerPoint, Auditing, OneDrive and more... - Roundup #59 | Guy in a Cube
• Pingback: Online Book: Power BI From Rookie to Rockstar | RADACAD

Hi Reza, As you have mentioned under “Reports in Tile” is it possible to created PowerPoint Slides on the fly in Power Bi Tiles add-in. Suppose i have 4 tiles under a report, so is it possible to create 4 Slides under powerpoint and render the tiles slides wise i.e. Slide 1 -> contain Tile 1 Slide 2 -> contains Tile 2 Slide 3 -> contains Tile 3 etc. and it should render there tiles per slide without manual intervention.

I may not be the best person to answer this question. This is more Power Point question. Someone with good experience and knowledge in Office should know that. Maybe with VBA it be possible.

Is PowerBITiles a trusted Addin by Microsoft? I could not find this information in the AppStore.. If yes should be supported with the non online version pf Powerpoint?

Thanks Asma

Hi Asma This add-in is a third party component, not from Microsoft. Cheers Reza

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Visualization types in Power BI

• 20 contributors

This article lists visualizations available in Power BI. We'll be adding new visualizations, stay tuned!

And check out the Microsoft AppSource , where you'll find a growing list of Power BI visuals you can download and use in your own dashboards and reports. Feeling creative? Learn how to create and add your own visuals to this community site .

Visualizations in Power BI

All of these visualizations can be added to Power BI reports, specified in Q&A, and pinned to dashboards.

Area charts: Basic (Layered) and Stacked

The basic area chart is based on the line chart with the area between the axis and line filled in. Area charts emphasize the magnitude of change over time, and can be used to draw attention to the total value across a trend. For example, data that represents profit over time can be plotted in an area chart to emphasize the total profit. On the other hand, stacked area charts display the cumulative total of multiple data series stacked on top of each other, showing how each series contributes to the total.

For more information, see Basic Area chart .

Bar and column charts

Bar charts are the standard for looking at a specific value across different categories.

Multi row cards display one or more data points, one per row.

Single number

Single number cards display a single fact, a single data point. Sometimes a single number is the most important thing you want to track in your Power BI dashboard or report, such as total sales, market share year over year, or total opportunities.

For more information, see Create a Card (big number tile) .

Combo charts

A combo chart combines a column chart and a line chart. Combining the two charts into one lets you make a quicker comparison of the data. Combo charts can have one or two Y axes, so be sure to look closely.

Combo charts are a great choice:

• When you have a line chart and a column chart with the same X axis.
• To compare multiple measures with different value ranges.
• To illustrate the correlation between two measures in one visual.
• To check whether one measure meets the target which is defined by another measure.
• To conserve canvas space.

For more information, see Combo charts in Power BI .

Decomposition tree

The decomposition tree visual lets you visualize data across multiple dimensions. It automatically aggregates data and enables drilling down into your dimensions in any order. It is also an artificial intelligence (AI) visualization, so you can ask it to find the next dimension to drill down into based on certain criteria. This makes it a valuable tool for ad hoc exploration and conducting root cause analysis.

Doughnut charts

Doughnut charts are similar to pie charts. They show the relationship of parts to a whole. The only difference is that the center is blank and allows space for a label or icon.

For more information, see Doughnut charts in Power BI .

Funnel charts

Funnels help visualize a process that has stages, and items flow sequentially from one stage to the next. One example is a sales process that starts with leads and ends with purchase fulfillment.

For example, a sales funnel that tracks customers through stages: Lead > Qualified Lead > Prospect > Contract > Close. At a glance, the shape of the funnel conveys the health of the process you're tracking. Each funnel stage represents a percentage of the total. So, in most cases, a funnel chart is shaped like a funnel -- with the first stage being the largest, and each subsequent stage smaller than its predecessor. A pear-shaped funnel is also useful -- it can identify a problem in the process. But typically, the first stage, the "intake" stage, is the largest.

For more information, see Funnel Charts in Power BI .

Gauge charts

A radial gauge chart has a circular arc and displays a single value that measures progress toward a goal. The goal, or target value, is represented by the line (needle). Progress toward that goal is represented by the shading. And the value that represents that progress is shown in bold inside the arc. All possible values are spread evenly along the arc, from the minimum (left-most value) to the maximum (right-most value).

In the example above, we are a car retailer, tracking our Sales team's average sales per month. Our goal is 200,000 and represented by the location of the needle. The minimum possible average sales is 100,000 and we've set the maximum as 250,000. The blue shading shows that we're currently averaging approximately $180,000 this month. Luckily, we still have another week to reach our goal.

Radial gauges are a great choice to:

• Show progress toward a goal.
• Represent a percentile measure, like a KPI.
• Show the health of a single measure.
• Display information that can be quickly scanned and understood.

For more information, see Gauge Charts in Power BI .

Key influencers chart

A key influencer chart displays the major contributors to a selected result or value.

Key influencers are a great choice to help you understand the factors that influence a key metric. For example, what influences customers to place a second order or why were sales so high last June .

For more information, see Key influencer charts in Power BI

A Key Performance Indicator (KPI) is a visual cue that communicates the amount of progress made toward a measurable goal.

KPIs are a great choice:

• To measure progress (what am I ahead or behind on?).
• To measure distance to a metric (how far ahead or behind am I?).

For more information, see KPIs in Power BI .

Line charts

Line charts emphasize the overall shape of an entire series of values, usually over time.

Use a basic map to associate both categorical and quantitative information with spatial locations.

For more information, see Tips and tricks for map visuals .

The combination of ArcGIS maps and Power BI takes mapping beyond the presentation of points on a map to a whole new level. The available options for base maps, location types, themes, symbol styles, and reference layers creates gorgeous informative map visuals. The combination of authoritative data layers (such as census data) on a map with spatial analysis conveys a deeper understanding of the data in your visual.

For more information, see ArcGIS maps in Power BI .

Used to associate both categorical and quantitative information with spatial locations.

For more information, see Azure Maps visual for Power BI .

Filled map (Choropleth)

A filled map uses shading or tinting or patterns to display how a value differs in proportion across a geography or region. Quickly display these relative differences with shading that ranges from light (less-frequent/lower) to dark (more-frequent/more).

The more intense the color, the larger the value.

For more information, see Filled Maps in Power BI .

Shape maps compare regions on a map using color. A shape map can't show precise geographical locations of data points on a map. Instead, its main purpose is to show relative comparisons of regions on a map by coloring them differently.

For more information, see Shape Maps in Power BI .

The matrix visual is a type of table visual (see Tables in this article) that supports a stepped layout. A table supports two dimensions, but a matrix makes it easier to display data meaningfully across multiple dimensions. Often, report designers include matrixes in reports and dashboards to allow users to select one or more element (rows, columns, cells) in the matrix to cross-highlight other visuals on a report page.

The matrix automatically aggregates the data and enables drilling down into the data.

For more information, see Matrix visuals in Power BI .

Pie charts show the relationship of parts to a whole.

Power Apps visual

Report designers can create a Power App and embed it into a Power BI report as a visual. Consumers can interact with that visual within the Power BI report.

For more information, see Add a Power Apps visual to your report .

Q&A visual

The Q&A visual provides users with a text box to query data in Power BI reports. Users can use natural language to query data, and the Q&A visual interprets the query and provides an appropriate visualization.

For example, if a user asks a question like "What were the product sales in 2019?" the Q&A visual will query the relevant data and create an appropriate visualization to display the results. This visualization can be in many different formats, such as a chart or a table.

Similar to the Q&A experience on dashboards , the Q&A visual lets you ask questions about your data using natural language.

For more information, see Q&A visuals in Power BI .

R script visuals

Visuals created with R scripts, commonly called R visuals , can present advanced data shaping and analytics such as forecasting, using the rich analytics and visualization power of R. R visuals can be created in Power BI Desktop and published to the Power BI service.

For more information, see R visuals in Power BI .

Ribbon chart

Ribbon charts show which data category has the highest rank (largest value). Ribbon charts are effective at showing rank change, with the highest range (value) always displayed on top for each time period.

For more information, see Ribbon charts in Power BI .

Scatter, bubble, and dot plot chart

A scatter chart always has two value axes to show one set of numerical data along a horizontal axis and another set of numerical values along a vertical axis. The chart displays points at the intersection of an x and y numerical value, combining these values into single data points. These data points might be distributed evenly or unevenly across the horizontal axis, depending on the data.

A bubble chart replaces data points with bubbles, with the bubble size representing an additional dimension of the data.

Both scatter and bubble charts can also have a play axis, which can show changes over time.

A dot plot chart is similar to a bubble chart and scatter chart except that it can plot numerical or categorical data along the X axis. This example happens to use squares instead of circles and plots sales along the X axis.

For more information, see Scatter charts in Power BI .

Scatter-high density

By definition, high-density data is sampled to create visuals reasonably quickly that are responsive to interactivity. High-density sampling uses an algorithm that eliminates overlapping points, and ensures that all points in the data set are represented in the visual. It doesn't just plot a representative sample of the data.

This ensures the best combination of responsiveness, representation, and clear preservation of important points in the overall data set.

For more information, see High Density Scatter charts in Power BI .

A slicer is a standalone chart that can be used to filter the other visuals on the page. Slicers come in many different formats (category, range, date, etc.) and can be formatted to allow selection of only one, many, or all of the available values.

Slicers are a great choice to:

• Display commonly used or important filters on the report canvas for easier access.
• Make it easier to see the current filtered state without having to open a drop-down list.
• Filter by columns that are unneeded and hidden in the data tables.
• Create more focused reports by putting slicers next to important visuals.

For more information, see Slicers in Power BI .

Smart narrative

The Smart narrative adds text to reports to point out trends, key takeaways, and add explanations and context. The text helps users to understand the data and identify the important findings quickly.

For more information, see Create smart narrative summaries .

Standalone images

A standalone image is a graphic that has been added to a report or dashboard.

For more information, see Add an image widget to a dashboard .

A table is a grid that contains related data in a logical series of rows and columns. It might also contain headers and a row for totals. Tables work well with quantitative comparisons where you are looking at many values for a single category. For example, this table displays five different measures for Category.

Tables are a great choice:

• To see and compare detailed data and exact values (instead of visual representations).
• To display data in a tabular format.
• To display numerical data by categories.

For more information, see Working with tables in Power BI .

Treemaps are charts of colored rectangles, with size representing value. They can be hierarchical, with rectangles nested within the main rectangles. The space inside each rectangle is allocated based on the value being measured. And the rectangles are arranged in size from top left (largest) to bottom right (smallest).

Treemaps are a great choice:

• To display large amounts of hierarchical data.
• When a bar chart can't effectively handle the large number of values.
• To show the proportions between each part and the whole.
• To show the pattern of the distribution of the measure across each level of categories in the hierarchy.
• To show attributes using size and color coding.
• To spot patterns, outliers, most-important contributors, and exceptions.

For more information, see Treemaps in Power BI .

Waterfall charts

A waterfall chart shows a running total as values are added or subtracted. It's useful for understanding how an initial value (for example, net income) is affected by a series of positive and negative changes.

The columns are color coded so you can quickly tell increases and decreases. The initial and the final value columns often start on the horizontal axis, while the intermediate values are floating columns. Because of this "look", waterfall charts are also called bridge charts.

Waterfall charts are a great choice:

• When you have changes for the measure across time or across different categories.
• To audit the major changes contributing to the total value.
• To plot your company's annual profit by showing various sources of revenue and arrive at the total profit (or loss).
• To illustrate the beginning and the ending headcount for your company in a year.
• To visualize how much money you make and spend each month, and the running balance for your account.

For more information, see Waterfall charts in Power BI .

Related content

• Visualizations in Power BI reports
• Power BI Visuals Reference from sqlbi.com , guidance for picking the right visual for your data

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Additional resources

10 Best Power BI Reports Examples

By: Muhammad Faraz | Published: February 2, 2022 | Updated: February 22, 2024

The benefits of Business Intelligence and Data Visualization are becoming increasingly evident to business organizations globally. Power BI is a Business Intelligence tool that is employed by many of these organizations to implement these useful techniques on their business data, maintained in the Cloud Data Warehouse and numerous other sources. Users use Power BI Reports to visualize their data and perform analysis.

Table of Contents

In this article, you will learn in detail about different parts of Power BI Report , some Power BI Reports Examples, and differences between Power BI and Tableau Dashboards.

Best Power BI Report Templates

• Power BI Reports Examples: Sales Analysis Reports
• Power BI Reports Examples: Email Marketing Reports
• Power BI Reports Examples: Customer Profitability Reports
• Power BI Reports Examples: Financial Analysis Reports
• Power BI Reports Examples: Digital Marketing Reports
• Power BI Reports Examples: HR Analytics Reports
• Power BI Reports Examples: Website Analytics Reports

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Check out what makes Hevo amazing :

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1. Power BI Reports Examples: Sales Analysis Reports

Power BI offers a very detailed Sales Analysis report. 

Here are some important things highlighted in this report image:

• The left column shows the industry s ales volume of 50K in the last year including a  market share of 3.68%, a sentiment score of 68, and so on. 
• % Units Market Share vs. % Units Market Share in the Top Tab shows how marketing shares are being distributed.  
• In the middle column chart tile, the competitors can be seen and also the Total Units YTD Variance %.
• Locations for most of the business operations can also be seen.
• The line chart at the bottom shows the trends in the businesses over different periods of months. 

Additionally, Power BI also provides already prepared samples for this report which can be downloaded from here and used later easily. 

2. Power BI Reports Examples: Email Marketing Reports

Power BI provides very detailed email marketing reports. 

This report shows the following Data Points in the form of a dashboard :

• Emails Engagement numbers. 
• Email Delivery Rate.
• Bounce Rate (The % of people who saw it for the first time and didn’t respond back).
• Email Open Rate.
• Email Opened vs Email Email Clicked comparison.
• In the last portion, it mentions the Sales by Products as well as Sales by the Customers. 

3. Power BI Reports Examples: Customer Profitability Reports

Following are Customer Profitability report features:

Note the following details:

• The company’s gross margin .
• Number of Customers it has e.g. 80 .
• It shows the selling of 5 Different Products. 
• Lowest & highest revenues in different months. 
• Locations or regions from where the highest revenue is being generated. 

4. Power BI Reports Examples: Financial Analysis Reports

Power BI Sample provides a very detailed Financial Analysis Reporting including as many Financial Parameters as possible to understand the financials of a company & project the future directions. 

Here are Few things mentioned in the reports:

• Total Revenue
• Total Expenses
• Liabilities
• Gross Margin
• Cash Available in the Company
• Comparison between Expense and Revenue. 
• Liabilities vs Assets Comparison

The above portion of the report shows:

• Profit & Loss Statement of the Selected year. 
• Expense Breakdown over the months.
• Revenue Breakdown and Expense Breakdown.

5. Power BI Reports Examples: Digital Marketing Reports

Power BI helps in creating very detailed Digital Marketing Reports that involve all the important information about Digital Marketing parameters including Bounce Rate, CPM, CTR, Impressions, Conversions, etc. 

Here are few details that are mentioned in a report:

• Ad Spend Over the time. 
• Total Number of Conversions and Cost per Acquisition (CPA) comparison. 
• Spending Meter showing how much of the target spending has already been spent.
• Cost per thousand Impression (CPM) and Cost per Click (CPC) comparison. 
• Bounce Rate over the time period. 
• Number of Impressions as per date. 

This part of the report shows all the above-mentioned parameters on the weekly basis and on the right bottom, a funnel starting from awareness and ending at conversion. 

6. Power BI Reports Examples: HR Analytics Reports

Like all other reports, Human Resource Reports also provides very detailed HR analytics as shown below:

Here are few details:

• It shows the New Hire Count, New Hires, and Actives YoY % as it is changing on the monthly basis.  
• Number of hirings as per location and areas. 
• Number of  New Hires by Age Group as more younger people are going to be hired. 

7. Power BI Reports Examples: Website Analytics Reports

Power BI can provide very detailed Website Analytics by getting integrated by tools like Google Analytics.

The above report shows the following features:

• User Hits and Bounce Rate by the Country.
• A device that is being used to access the website.
• How many times the user visits the website. 
• How much time on average the users are spending on your website. 

Apart from the above-mentioned questions, there are many others that can be answered through Power BI reports. You just need to integrate your data source properly. 

Best Practices in Power BI Reports for Data Visualization 

Some of the best practices are:

• Choosing the Right Visualization:   In Power BI example reports, different data types require different types of visualizations. For example, a line chart is used to show changes over time, and a scatter plot to identify correlations between two variables. You should ensure to choose the right visualization for your data.
• Keep it Simple and Easy : Use visualizations that are simple and easy to read. Do not clutter your reports with too many visualizations. You should use clear labels and color schemes for ease of understanding to the viewer.
• Consistent Formatting: Consistent formatting is essential for creating a professional Power BI Sample reports. Make your reports cohesive with the same font, color scheme, and formatting throughout the report.
• Highlight Key Insights: You should use visualizations to highlight vital insights and trends in your Power BI report samples. This helps the audience to quickly understand the most important information. 
• Use Interactive Visualizations:  Power BI enables numerous features for you to create different types of reports in Power BI. You can create interactive visualizations to create engaging reports that keep your audience engaged.

Differences between Power BI & Tableau Dashboards

There are some basic differences between Power BI & Tableau:

• Tableau uses MDX for dimensions and measures while Power BI uses DAX for measures and dimensions.
• Tableau platform is primarily known for the vast data visualization functionalities that it offers mainly dashboards whereas Power BI handles a large number of data points to offer data visualizations with the help of powerful reports. 
• Power BI usually has some limitations in handling large amounts of data while Tableau can do that with ease. 

Before wrapping up, let’s cover some basics.

Introduction to Power BI

Power BI is a collective group of an assortment of services and cloud-based apps that can help organizations at all levels to manage, analyze data from different data sources easily with the help of a very user-friendly interface. 

Power BI works on the following principles:

It pulls data from different data sources and helps users to preprocess it efficiently. The data sources can be various databases and Microsoft Excel as well. 

After preprocessing it helps in making very useful reports by providing easy-to-use visualizations and a very interactive interface. 

Power BI exists in the following formats: 

• Windows Desktop Application is known as Power BI Desktop.
• SaaS is known as Power BI Service. 
• Power BI Mobile Apps (both for iOS & Android).

The basis of Power BI lies in Microsoft Excel but is very powerful and provides hundreds of features making it a very useful tool for every level of organizations. 

Official Documentation related Microsoft Power BI can be found here .

Understanding Power BI Reports

A Power BI report provides a very detailed overview of any dataset or data stream of interest in the form of different visualizations, filters, and parameters. It can vary depending upon one’s job role i.e. whether it is managing level or executive level. 

Parts of a Power BI Report

General Parts of a Power BI consist of following features or parts: 

A. A portion shows the number of and names of the pages or segments present in this report. The highlighted part is Sentiments. 

B. B portion shows that there are five different visuals including a page title.

C. C portion is a Filters section where different filters can be applied and used as per requirement. 

D. This portion shows the Name of the report and when it was last updated. It can be opened using the arrow to open a menu from where the name of the owner of the report can also be seen.

E. Lastly, the E portion shows what actions can be done or performed on this report including adding a comment, view a bookmark, or even export the data. 

Overall, Power BI provides a very large number of functionalities for data visualization and reporting purposes. In this article you learned in detail about different parts of Power BI Report, some Power BI Reports Examples, and differences between Power BI Dashboards .

Integrating and analyzing data from a huge set of diverse sources can be challenging, this is where Hevo comes into the picture.

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Home Blog Business How to Design a Dashboard Presentation: A Step-by-Step Guide

How to Design a Dashboard Presentation: A Step-by-Step Guide

What do all businesses have in common? They all create data. Nevertheless, they differ in how they use the data to make informed business decisions.

Are you ready to make better decisions for your business? Do you want to use the data your business piles up effectively? It’s time to start using dashboard presentations.

This quick guide will take you on a journey to create a data dashboard presentation highlighting metrics and KPIs needed to make essential decisions about any business scenario.

Table of Contents

• What is a Dashboard Presentation?
• Why do you need a Dashboard for your business?

Anatomy of an Effective Dashboard Presentation

• Metrics and KPIs to include in your dashboard

Step-by-Step Guide to creating a dashboard presentation

How to present a dashboard in powerpoint, recommended state-of-the-art tools to create a dashboard, a quick look at excel dashboards, closing thoughts, what is a dashboard presentation .

A data dashboard is a versatile and practical tool for making important decisions. It’s the solution to time-consuming data research that expands across multiple locations. 

In business, you have various tools to keep you informed on performance and growth. Your sales platforms, marketing applications, and customer service software collect data. Looking through data on different locations takes up time, and that’s where custom dashboards come in. 

Dashboards bring together data in one place to answer specific questions and tell stories about your business. Data dashboards can be created in several ways, depending on their level of interactivity and real-time data updates. 

To be truly effective, a dashboard needs a hierarchical strategy. One or more main dashboards answer the big questions, while others answer specific questions per team, time frame, or campaign. 

Live dashboards update at regular intervals, pulling data from many sources simultaneously, offering a real-time overview of the big picture. 

Dashboard presentations display data for a specific point in time, a snapshot to share with stakeholders and managers. This is the type of presentation you can create today using PowerPoint and editable presentation templates by SlideModel.

Why do you need a Dashboard for your business? 

Every business generates data about customers, employees, production lines, communication platforms, etc. All the collected data is valuable information for making informed business decisions. That said, only some in a company know how to manually dig into data spreadsheets to find trends, sudden changes, and other business metrics. A dashboard fixes that.

Not all business data lives in the same place, most of which isn’t visual. In a dashboard, you bring together data from different sources, choose the metrics you need for that dashboard and make it all look coherent and easy to understand.

There are more benefits than setbacks when using dashboards, especially when they’re created efficiently and follow a straightforward data story.

Here’s a list of the most significant benefits of using dashboard presentations in your meetings and strategy sessions:

• Data dashboard presentations help you and your team make better, more informed decisions.
• They provide a coherent and detailed overview of your business’ KPIs and metrics for a specific strategy, campaign, or hypothesis.
• Dashboard presentations facilitate analysis and understanding of how different metrics and dimensions have different outcomes.
• They improve accountability in a team as everyone can see what needs improvement and what is reaching set benchmarks.
• Using data dashboards as a team makes sense. To work together towards a common goal, everyone must know what’s at stake.

How to Design an Efficient Dashboard Presentation  

Creating a dashboard presentation for the first time can feel a bit daunting. This guide takes you step-by-step through the process from strategy to completion.

Click on the sections below if you’d like to skip ahead.

The layout for a dashboard presentation depends on the aspect ratio you need to work with. The aspect ratio will depend on how your audience views and uses the dashboard.

For a desktop or computer view, a horizontal 16:9 ratio is suitable. A scrolling dashboard is better on mobile devices—just remember to highlight the hierarchy in the data. The optimal dashboard presentation is responsive to different screen sizes. 

Before we get into the KPIs and the step-by-step guide, let’s visualize the anatomy of a dashboard presentation. Here are some actionable guidelines to help you.

Giving the dashboard a title

The dashboard title doesn’t need to be too large; remember that you need space in the canvas to display the data. If necessary, include a subtitle with essential information. Don’t add it if it’s not needed to understand the dashboard. 

The location of the title is preferably at the top left or top center. To the left, leaves space to the right for a couple of data points; the centered option will have white space on the sides.

Grouping Big numbers and data visualizations

The most efficient way to organize the information on your dashboard is to group the data points into relevant categories. Creating these groups has two purposes; it helps with the overall layout and hierarchy of the dashboard, and it supports the cognitive analysis done by the viewer.

As you create groups of data points, place similar visualizations inside groups to maintain a visual balance. For example, at the very top, it’s common to have a horizontal section with a group of big numbers. 

Big numbers are data points that highlight an exact number or value at a specific time. Some big numbers include; overall revenue, profit, number of followers, number of support calls completed, etc. Likewise, big numbers can be the percentage reached towards a goal or the progress of a specific action. 

Group data visualizations or similar charts into more sections to place below the big numbers. This technique uses human reading patterns to create a visual hierarchy for the dashboard, making it easier to understand at a glance.

Adding visual metaphors

There’s no need to use just numbers and charts inside a dashboard. Take advantage of visual metaphors to help highlight the data in their sections. This is a common technique for creating infographics . 

A dashboard’s most used visual metaphor is a data point’s negative or positive impact. For this purpose, you can add arrows , color labels, up and down thumbs, happy and sad faces, or a visual thermometer highlighting the current amount of money collected in a fundraising campaign. Which style, depends on the dashboard’s business tone. For a financial dashboard, color labels are enough, but emojis are just as adequate for a young startup’s sales rep dashboard.

Crafting legends and captions 

Data points and data point groups will be more precise with a caption or label accompanying them. Place short labels in the exact location in each group, and place legends in similar areas to each data point. This visual consistency makes the data easier to review.

We can’t stress enough how important it is to choose the right font for your dashboard. It needs to be easy to read at small sizes and consistent throughout the layout. Forget about using two fonts or more. Use one and highlight selected text with bold or italic styling.

Supporting analysis with filters

Adding filters to a dashboard is a choice you’ll have to make with your team. First, why filters? A filter is a selection tool to choose between views in the dashboard. Standard filters include time frame, location, people, etc.

Regarding dashboard presentations, filters don’t work the same way as they do on Excel dashboards. In an Excel dashboard, filters are integrated into the data points. When used, the data in the dashboard changes dynamically. You’ll have to create separate views on different slides in a dashboard presentation.

Metrics and KPIs to include in your dashboard 

The content in a dashboard is metrics, dimensions, and KPIs , but how do you know which ones to include? There’s no one answer to this question; every dashboard is different. But thankfully, there are some general foundations you can follow.

First, you need to know the strategy to determine what metrics and KPIs you’ll need. Think of this as a playbook for every dashboard you create.

• Have a clear grasp of the dashboard’s purpose and goal. Know the answers to the questions in Step 1 of the step-by-step guide.
• Formulate one or more hypotheses or questions as a base for the analysis.
• Study the data you have on hand and select the metrics and KPIs that highlight what you need to know about your hypothesis or question.
• Outline the data sets in a hierarchy of importance and relevance.

This playbook will guide your decision on what metrics and KPIs to use, regardless of your profession and industry. Here are some example KPIs and templates to help give you a better idea

A social media dashboard that asks questions about engagement and brand awareness would use weekly KPIs like:

• Follower growth
• Engagement to follower count ratio
• Measurement of clicks on links
• Hashtag tracking
• Comment and DM tracking
• Best all-around post

The marketing dashboard template below highlights the following:

• Conversions
• Browser preference
• Performance

Download it to start using it with PowerPoint to create your following marketing dashboard. If you’re looking for marketing campaign dashboards, browse our template gallery.

A retail company asks for a dashboard highlighting how online and in-store sales are leveling up after the pandemic. These would be good KPIs to include:

• Overall sales in the stores and online
• Product category sales that differ in online and in-store purchases
• Trends over time
• Return rates for online and in-store sales
• Demographic data about the customer

Below is one of our sales dashboard templates . There’s a summary dashboard on the first slide and consecutive slides with detailed data. These are some of the metrics it highlights:

• Weekly sales
• Product share
• Predicted vs. actual sales
• Sales over time

Customer Service/Support

A dashboard highlighting the successes and fails of the customer support team would use metrics like these :

• Customer satisfaction score
• Customer effort score
• Total tickets + tickets per customer
• Volume by channel (chat, phone, email, etc.)
• First response time
• Average handle time
• Cost per resolution
• Net promoter score

Look at this customer service KPI dashboard template that uses most KPIs mentioned above. Note that first response time and average handle time are all metrics you can get from your business phone system .

Project Management

These are the common metrics in a project dashboard , you can add or take away depending on your particular dashboard purpose:

• Planned Value 
• Actual Cost
• Earned Value 
• Cost Variance (Planned Budget vs. Actual Budget)
• Cost Performance Index 
• Planned hours of work vs. actual situation

Alternatively, you can use a roadmap dashboard with a Gantt chart and other important KPIs highlighting progress.

Financial Operations 

Financial dashboards tend to get very busy visually. They usually also have more line charts than others. Here are a few of the most common KPIs for a financial dashboard presentation.

• Operating Cash Flow (OCF)
• Current Ratio
• Net Profit Margin
• Sales Growth
• Vendor Expenses

This financial dashboard template , for example, has 12 data points in one space. It’s a great example of how design and dashboard storytelling techniques help create a beautiful dashboard.

Now it’s time to get into the nitty-gritty, the how-to for creating a dashboard presentation

These steps cover what you need to know to create an efficient dashboard presentation with PowerPoint and SlideModel. 

Step 1: Define the purpose of your dashboard presentation

Dashboards are born from a business need, a way to quickly analyze data and make informed decisions. That’s why it’s essential to know your dashboard’s purpose before you do anything. 

It could be as broad as a CEO saying they have 30 seconds to see a dashboard once a week. Or a high-level manager wants to see an overview of the activity in their department at the Monday morning meetings. And yet another could be the social media manager’s need to show progress over time regarding a specific campaign.

Here are the questions you need to answer before continuing:

• Who will be the end users?
• What are their key business goals and objectives?
• What are the most important questions they need answers to?
• How frequently will the dashboard be reviewed?

With the answers to this checklist, you’re ready to go on to the next step.

Step 2: Choose the right metrics for your purpose

Above, we show you how to choose the KPIs for your dashboard. You might already have some data inside several business platforms’ analytics sections. Others you might have to source in other ways. 

As you collect the data, analyze the level of detail you’ll need to visualize. It will help later when transforming the data from its original form to a data visualization on the dashboard.

For each data point, take note of what it’s highlighting. What exact question is it answering? These will turn into legends and captions when you put them all together.

Step 3: Present the data effectively

With the metrics and KPIs collected, it’s time to present them on the dashboard. It’s essential to write down a hierarchical outline of the data points. Start with the most critical data according to the question the dashboard aims to answer. 

For each data point, select a style of visualization; big numbers, percentages, bar charts, simplified line graphs, and arrays. Write it all down on the outline. Use big numbers at the top of the dashboard to highlight the most influential data. Don’t use too many data visualization of the same style together; the repetition affects the viewer’s attention. 

Before adding the data to PowerPoint, prepare your charts to export them easily. Ensure the data is cleaned and revised, and there’s no extra irrelevant information. 

Step 4: Eliminate visual clutter and noise

Once you have all the KPIs on the dashboard, check for unnecessary visual material. Are you using the same font for all data points? Is the color unified across the design? How about text size and alignment?

Give each data point a margin of space around it. Keep the distance between data points and groups similar in size. Keep lines as straight as possible without much overlap between data points. Resize and shape each data point so it aligns neatly on the dashboard.

Check the text in the chart and graph legends. Make sure to keep all legends and labels similar in size and easy to read. Don’t use colored text or styled text unless it serves a purpose.

Step 5: Use the layout to focus attention

To structure the layout of your dashboard, take note of the human act of reading. People read from left to right, starting in the top left corner of the page or screen. Their gaze continues in a back-and-forth motion that resembles the letters Z and F. Knowing where your viewer will most likely look first, place your most important, high-level data in their line of sight.

Remember to combine similar data points to create visual separations in the layout. Help the viewer follow the flow of information with subtle design elements like color, size, and position. Apply Gestalt principles like proximity and similarity to group elements together.

Step 6: Tell a clear story

Why is it important to tell a story with data on your dashboard? If you were to phrase your dashboard’s purpose as a question or hypothesis, the data would be the answer. Use descriptive titles and labels to help the viewer understand the data in order of importance.

As the viewer scans the data on the dashboard, comprehension must start at the top with the top-level data points. These answer the most immediate question of the dashboard’s purpose, like the opener of a story or essay. The story continues with the rest of the data points, which will complete the analysis. 

When you tell a clear story with the help of a hierarchic layout, descriptive titles, and labels, the data story flows naturally. To achieve a compelling data story for your dashboard, ask for feedback from your team and edit the layout until it makes sense.

Presenting a dashboard on PowerPoint is simple. Depending on what type of dashboard you need, there’s a way to do it. 

You only need the collected data and one of our dashboard templates to create and present a static dashboard presentation with PowerPoint. The step-by-step guide above will help. 

For dynamic and interactive dashboards in PowerPoint, you’ll have to connect to your live data on Excel using a tool like Presentation Point . Alternatively, you can embed Power BI and Excel dashboards into your PowerPoint slides.

Let’s take a quick look at the recommended data dashboard tools. For a static dashboard presentation, our preferred tool is PowerPoint. But for highly interactive and dynamic dashboards with live data updates, you’ll need something else.

Looker Studio (previously Google Data Studio)

Looker Studio is the new name of Google Data Studio. With this tool, you can create dashboards and reports to showcase and highlight KPIs regardless of your business type. Adding a Looker Studio dashboard to a PowerPoint presentation isn’t ideal. There’s no intuitive process, and it isn’t recommended. Looker Studio is better suited for teams that work with the G-Suite.

Microsoft Excel

Excel dashboards are a classic reporting staple in the world of business. You can create elaborate dashboards with dynamic and interactive features using data sources, reference tables, and pivot tables. Stay tuned if you have ever wondered how to create an Excel dashboard that updates automatically.

Power BI (Business Intelligence) is a Microsoft tool for visualizing data insights that help make better business decisions. It is the tool of choice for big companies with large amounts of data to be analyzed. Connecting and embedding Power BI dashboards to PowerPoint is simple since they’re both from Microsoft.

Tableau is similar to Power BI in that they are both data visualization platforms that improve business intelligence. Tableau dashboards are a great alternative to Power BI and can also be embedded into a PowerPoint presentation. 

SlideModel + PowerPoint

Finally, the combo between SlideModel and PowerPoint comes into the picture. This duo is your best friend when creating static dashboard presentations.

Use SlideModel dashboard presentation templates to create a static dashboard that gives an insightful overview of some aspects of your business. Share the dashboard with your team and make better decisions together.

To create a live data dashboard presentation with SlideModel and PowerPoint, try Presentation Point, a tool to help bring live data into your presentations. Alternatively, you can try our AI PowerPoint generator to create a custom companion slide deck for your presentation topic.

As we mentioned above, Excel is an epic tool for business dashboards. It’s more accessible than Power BI and easier to use than Tableau (especially if you’re already an Excel pro). To create an Excel dashboard, you need to set up at least four sheets that work together to highlight the KPIs. They are:

• Data source sheets  
• Reference tables sheets   
• Pivot Tables sheets 
• The Dashboard sheet 

The best part about creating Excel dashboards is the possibility of building dynamic dashboards with data that updates automatically. Our favorite part? You can then embed it in PowerPoint and use SlideModel templates to make it all visually cohesive.

If you didn’t already know, dashboards are unique. They’ve been fantastic business tools for years. It’s no surprise they’ve jumped to other information design fields. For example, dashboard-style CVs! 

Creating a static data dashboard presentation (as a CV or for your business) is much easier when you know your needed tools. Some are easier than others, while others are too much for your needs.

Since you’re creating a data dashboard presentation with static data, you only need a PowerPoint and SlideModel. Browse our library to find digital marketing dashboard templates, HR dashboard templates, and lots more. 

Here’s to your next presentation dashboard. May it be the best you’ve ever made.

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How to Put Power BI Visuals in PowerPoint

If you’re a business professional who frequently presents data insights to team members, stakeholders, or clients, you know how important it is to create visually compelling and engaging presentations. Fortunately, Microsoft has made it incredibly easy to combine the power of Power BI and PowerPoint to create stunning presentations that showcase data in real-time.

Table of Contents

Understanding the Importance of Integrating Power BI Visuals with PowerPoint

By integrating Power BI visuals with PowerPoint, you can impress your audience and make your presentations more impactful. This integration allows you to create dynamic, data-driven presentations that help you tell a story and draw attention to important business insights. It’s also a great way to save time and effort by automating the process of updating data visualizations in PowerPoint. Instead of manually updating each slide with new data, you can link your PowerPoint presentation to a Power BI report and have the visuals automatically update in real-time.

Another benefit of integrating Power BI visuals with PowerPoint is that it allows you to easily share your data insights with others. You can export your PowerPoint presentation as a PDF or share it online, making it accessible to a wider audience. This can be especially useful for businesses that need to share data with stakeholders or clients who may not have access to Power BI.

Furthermore, by using Power BI visuals in your PowerPoint presentations, you can create more engaging and interactive content. You can add filters, slicers, and other interactive elements to your visuals, allowing your audience to explore the data on their own. This can help to increase engagement and understanding, as well as encourage further exploration of the data beyond the presentation.

Step-by-Step Guide: How to Embed Power BI Visuals in PowerPoint

The process of embedding Power BI visuals in PowerPoint is straightforward and easy to follow. Here are the steps you need to take:

Step 1: Open the Power BI report you want to embed in PowerPoint.

Step 2: Click on the “File” menu and select “Embed in SharePoint Online or Webpage.”

Step 3: Choose the visual you want to embed and customize its size and appearance.

Step 4: Copy the embed code for the visual.

Step 5: In PowerPoint, select the slide where you want to add the visual and click on the “Insert” tab.

Step 6: Click on the “Get Data” option or “Insert” > “Online Pictures” for static images.

Step 7: Paste the embed code in the dialogue box and click “Insert.”

Step 8: Resize and position the visual as desired.

Once you have embedded the Power BI visual in PowerPoint, you can easily update it with the latest data from the Power BI report. Simply click on the visual in PowerPoint and select “Update” from the “Power BI” tab. This will refresh the visual with the latest data from the report.

Another useful feature of embedding Power BI visuals in PowerPoint is the ability to interact with the visual during a presentation. You can use the mouse to hover over data points and see additional information, or click on elements to filter the data in real-time. This can be a powerful tool for presenting complex data in a clear and engaging way.

Benefits of Adding Power BI Visuals in Your PowerPoint Presentations

There are several benefits to adding Power BI visuals in your PowerPoint presentations:

• Make your presentations more engaging and interactive.
• Save time by automating the process of updating data visualizations.
• Draw attention to important insights and trends in your data.
• Create dynamic, data-driven presentations.
• Reinforce the credibility of your presentations through data-backed insights.

Additionally, Power BI visuals can help you communicate complex data in a more digestible way. With the ability to create interactive charts, graphs, and maps, you can easily highlight key data points and allow your audience to explore the data on their own. This not only makes your presentation more engaging, but it also helps ensure that your audience understands the information you are presenting.

Choosing the Best Power BI Visuals for Your PowerPoint Presentation

When choosing the best Power BI visuals for your PowerPoint presentation, you need to consider the type of data you want to present, the level of interactivity you want to achieve, and the overall tone of your presentation. Some of the most popular Power BI visuals include:

• Line charts
• Scatter charts

It’s important to note that while these visuals are popular, they may not always be the best choice for your specific presentation. For example, if you’re presenting complex data with multiple variables, a scatter chart may be more effective than a bar chart. Additionally, if you want to highlight a specific metric or goal, a KPI may be the best choice. Ultimately, the key is to choose visuals that effectively communicate your data and support your overall message.

Customizing Power BI Visuals to Match Your PowerPoint Theme

To ensure that your Power BI visuals match the overall theme and design of your PowerPoint presentation, you can customize the visuals in several ways:

• Change the color palette to match your PowerPoint theme.
• Adjust fonts and font sizes to match your PowerPoint presentation.
• Customize the formatting of data labels and axes.
• Choose from a variety of visual styles and types.

Another way to customize your Power BI visuals is to add your company logo or branding to the visuals. This can be done by adding an image to the visual or by using custom visuals that allow for branding.

Additionally, you can customize the interactivity of your Power BI visuals to match your PowerPoint presentation. This can be done by adjusting the drill-through behavior, adding tooltips, or enabling cross-filtering between visuals.

How to Resize and Position Power BI Visuals in PowerPoint

When adding Power BI visuals to your PowerPoint presentation, you may need to resize and position them to fit your slides. To do this, simply click on the visual and use the sizing handles to adjust its size and shape. You can also use the alignment tools in PowerPoint to center, left- or right-align your visuals.

It’s important to note that resizing and repositioning your Power BI visuals can affect their readability and overall impact on your audience. Be sure to test your visuals on different screen sizes and adjust accordingly to ensure they are easily visible and understandable. Additionally, consider the placement of your visuals in relation to other content on your slide to create a cohesive and visually appealing presentation.

Tips for Optimizing the Performance of Power BI Visuals in PowerPoint

When embedding Power BI visuals in PowerPoint, you may encounter performance issues such as slow load times or visualizations failing to update. Here are a few tips to optimize the performance of Power BI visuals in PowerPoint:

• Limit the number of visuals per slide to reduce load times.
• Use high-resolution images to ensure that visuals are clear and crisp.
• Optimize your Power BI report by simplifying queries and removing unnecessary data.
• Test your presentation on various devices and browsers to ensure compatibility and performance.

Troubleshooting Common Issues When Adding Power BI Visuals to PowerPoint

If you run into issues when embedding Power BI visuals in PowerPoint, here are a few common problems and solutions:

• Visuals fail to update: Refresh the data in the report and ensure that it is connected to the correct data source.
• Visuals appear distorted or blurry: Increase the resolution of the visuals or adjust the scaling in PowerPoint.
• Visuals appear too large or too small: Resize the visuals in PowerPoint using the sizing handles.
• Embedded code doesn’t work: Ensure that the embed code is correct and that you have the necessary permissions to access the report.

Best Practices for Using Power BI Visuals in Your PowerPoint Presentations

Here are a few best practices for using Power BI visuals in your PowerPoint presentations:

• Keep your visuals simple and easy to understand.
• Use visuals that complement your data insights.
• Choose a consistent design and formatting style for all visuals used in your presentation.
• Use animations and transitions to make your presentation more engaging.

Advanced Techniques for Creating Interactive Dashboards in PowerPoint with Power BI Visuals

If you want to take your PowerPoint presentations to the next level, you can use Power BI to create interactive dashboards that can be embedded in your presentations. This allows you to give your audience control over the data they see and enables them to explore insights on their own. To do this, you’ll need to create a Power BI dashboard and then embed it in your PowerPoint presentation using the same process as before.

Comparing Different Methods of Integrating Power BI with PowerPoint

While the process of embedding Power BI visuals in PowerPoint is relatively straightforward, there are several ways to achieve this integration. Some methods include:

• Embedding visuals as web pages
• Exporting visuals from Power BI as image files and inserting them into PowerPoint
• Using Power BI Publisher for Excel to embed visuals in Excel spreadsheets, which can then be inserted into PowerPoint

Showcasing Data Insights through Stunning Power BI Visualizations in a PowerPoint Deck

With the powerful combination of Power BI and PowerPoint, you can create stunning data visualizations that showcase important business insights. By following the steps outlined in this article and using best practices for presenting data, you’ll be able to create impactful presentations that engage and inform your audience.

Enhancing the Credibility and Impact of Your Presentations with Power BI-Powered Slides

Power BI-Powered slides can help you enhance the credibility and impact of your presentations by presenting data insights in real-time. By using this powerful integration, you can create dynamic, data-driven presentations that showcase your expertise and impress your audience.

Using Embedded Codes to Add Dynamic Live Reports from Power Bi Desktop to your Presentation Slides

If you’re looking to take your PowerPoint presentations to the next level, you can use embedded codes to add dynamic live reports from Power Bi Desktop to your presentation slides. However, this process requires specific steps and permissions. It’s important to ensure that you have the necessary permissions to access the report and that the embed code is correct. With this powerful integration, you can create real-time presentations that keep your audience engaged and informed.

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Microsoft Power BI Blog

Power bi april 2024 feature summary.

Welcome to the April 2024 update! Here are a few, select highlights of the many we have for Power BI. There are new updates for line enhancements, supporting folders in workspace, dynamic subscriptions for Power BI and paginated reports.

There is more to explore, please continue to read on.

Fabric Conference Day 1 Keynote is now available!

Did you miss it, or want to hear it again? We are excited to release the FabCon Day 1 Keynote to the Microsoft Fabric YouTube Channel !

If you aren’t already, be sure to subscribe to the Microsoft Fabric Channel! Check out the amazing announcements & demos from Arun, Amir, Wangui, and other awesome presenters. The Day 3 keynotes will be released later this month, and more content will be released regularly moving forward.

Make sure you check out the blog post from Arun, that highlights the announcements from FabCon you can find that here:  Announcements from the Microsoft Fabric Community Conference

Earn a free Microsoft Fabric certification exam!  

We are thrilled to announce the general availability of  Exam DP-600 , which leads to the  Microsoft Certified: Fabric Analytics Engineer Associate  certification.   

Microsoft Fabric’s common analytics platform is built on the instantly  familiar Power BI experience , making your transition to Fabric Analytics Engineer easier. With Fabric, you can build on your prior knowledge – whether that is Power BI, SQL, or Python – and master how to enrich data for analytics in the era of AI.  

To help you learn quickly and get certified, we created the  Fabric Career Hub.  We have curated the  best   free   on-demand and live training, exam crams, practice tests and more .  

And because the best way to learn is live, we will have  free live learning sessions  led by the best Microsoft Fabric experts from Apr 16 to May 8, in English and Spanish. Register now at the  Learn Together  page.

Also,  become eligible for a  free certification exam  by completing the  Fabric AI Skills Challenge.  But hurry, the challenge only runs from  March 19 – April 19  and free certs are first-come, first-served! (limit one per   participant,  terms and conditions  apply).  

• Version number: v: 2.128.751.0
• Date published: 4/8/24
• New Visual – 100% Stacked Area Chart 
• Line enhancements 
• Enhance Q&A with Copilot-generated Linguistic Relationships  

Snowflake (Connector Update)

Storytelling in powerpoint – improved image mode in the power bi add-in for powerpoint, storytelling in powerpoint – continuous slide show auto refresh, storytelling in powerpoint – auto populating the slide title.

• Introducing the Fabric metadata scanning sample app 
• Dynamic Subscriptions for Power BI and paginated reports 

Supporting Folders in workspace

New “clear barcode” action in the report footer, open power bi items in full screen mode.

• New Visuals in AppSource
• KPI MatrixGrowth Rate Chart by DJEENI v1.4Aimplan Comment Visual

Financial Reporting Matrix by Profitbase

Horizon chart by powerviz, drill down scatter pro by zoomcharts, image gallery, horizontal bar chart, multi-pane card 1.1.

New Visual – 100% Stacked Area Chart

Introducing the new 100% Stacked Area Chart, now available in our core visuals gallery. These visuals display the relative percentage of multiple data series in stacked areas, where the total always equals 100%. It’s perfect for showing the proportion of individual series to the whole and how they change over time. Find it in the visual gallery, on-object dialog, or format pane, right next to the Stacked Area Chart. Give it a try and share your feedback with us!

For more detailed information about this new visual, and the new line enhancements you can read our article: https://www.linkedin.com/posts/pbicorevisuals_powerbi-pbicorevisuals-activity-7183990356642775041-lsFE?utm_source=combined_share_message&utm_medium=member_desktop

Line enhancements

Take your line charts to the next level with our new line control features.

• Adjust line color transparency under Lines > Colors > Transparency.
• Control the color and transparency of each series by selecting them in the ‘Apply settings to’ dropdown.
• Use Monotone and the new Cardinal smooth type for full control of smooth lines.
• Choose from before, center, and after step lines to align your visual with your story.

Try out these new features and enhance your line charts.

Enhance Q&A with Copilot-generated Linguistic Relationships

Improving your linguistic schema is an important step in making sure that the Q&A visual can understand the wide range of questions people might ask about their data. This is why, back in September , we added a new section into the Q&A setup menu to help you add linguistic relationships to teach Q&A about words which qualify or relate your data.   

But we also know that coming up with all the different words people might be using to refer to your data can take time and effort, and we’ve been working on ways to make that process easier for you! In November , we introduced a way for you to quickly generate new synonyms for the names of tables and columns in your model; this month, we’ve introduced the same functionality for linguistic relationships!   

When you open a report with a Q&A visual, if you have Copilot enabled and you’ve already added synonyms, you’ll now see a banner prompting you to get relationships with Copilot as well.   

Unlike with synonyms, Copilot-generated relationships will not be used to understand natural language inputs until you have approved them, so make sure you accept the ones which work for your model!   

Allow Copilot to help interpret Q&A questions.

You can also now use Copilot to improve the Q&A engine’s term recognition when you ask questions! This new feature will trigger when you ask Q&A a question which uses words or phrases which Q&A doesn’t recognize, but which it detects might be referring to data entities like tables or columns. Then, Copilot will also check those unknown words or phrases to see if there is any reasonable match — and, if so, return the answer as a visual as though a suggested synonym had been applied.

This feature is not a replacement for synonyms! In fact, adding synonyms for the entities in your semantic model is even more important to create good matches, as they increase the surface area to check for similarities. It will widen the range of inputs Q&A will recognize, but like a multiplier, it will improve recognition for well-modeled data much better than it will for poorly modeled data.   

This feature will be automatically enabled when you choose to get synonyms with Copilot, but you can also turn it on or off manually in the suggestion settings menu in the Synonyms tab in Q&A setup.  

Data Connectivity

The Snowflake connector has been updated to support the use of Snowflake dynamic tables .

We’ve made saving Power BI content as an image simpler and more powerful.

First, we’ve added a new dropdown menu to the add-in’s footer. In that menu, you can choose whether you want to see live data or a snapshot. So now it is much easier to find where to switch between live data and a static image.

Second, for snapshots, you now have two options:

• Public snapshot: Anyone who can view the presentation can view the image.
• Snapshot: Only those who have permission to view the report in Power BI will be able to see the snapshot.

Third, we’ve disabled the default snapshot, so that the slide thumbnail doesn’t show the image by default (this also applies when you copy & paste the slide into an email for example), but only after the add-in is loaded and the required permissions have been checked.

And lastly, we honor this setting also when you open the presentation in PowerPoint for the web. You still cannot change a live view into a snapshot in PowerPoint for the web, but if you or someone else has changed the view to snapshot in the PowerPoint desktop app, this will be respected, and you will see the snapshot also in PowerPoint for the web.

PowerPoint allows you to continuously playback a presentation. This is especially useful when you want to present information in public displays without any human interaction.

If a presentation that is running continuously has slides that include the Power BI add-in, the data in the add-in might become outdated, since the add-in gets the data from Power BI when the slide is loaded, or when the user manually refreshes the data being presented.

With the new automatic refresh in slide show feature, you can set the add-in to automatically pull fresh data from Power BI while the presentation is in slide show mode, ensuring that the presentation will always show the most recent data.

Note that auto refresh only happens in slide show mode and not while you’re editing the presentation.

When you add the Power BI add-in to an empty slide that doesn’t have a title yet, the Power BI add-in is here to help. It offers you suggestions for the slide title based on the content of you add-in. The title can be the report name, the page/visual name, or both. Just select the desired option and hit Add title .

Introducing the Fabric metadata scanning sample app

We’re delighted to announce the availability of the new Fabric metadata scanning app. This sample application builds upon the metadata scanning capabilities of Fabric’s set of Admin REST APIs collectively known as the scanner APIs. This new app can be used as a reference for admins interested in utilizing the Scanner API to catalog and report on all the metadata of their organization’s Fabric items.

The Fabric metadata scanning sample app handles all the steps for calling the scanner API including authentication, parallelism, throttling, and incremental scanning. In addition, it provides a central configuration file which can be easily modified to suit the specific needs of the caller. Currently authentication is supported both by using a service principal and a delegated token.

The app is available as a Microsoft open-source project, and is open for suggestions and improvements here:

https://github.com/microsoft/Fabric-metadata-scanning/

Dynamic Subscriptions for Power BI and paginated reports

We’re pleased to announce that you can now send dynamic per recipient subscriptions to up to 1000 recipients instead of the earlier limit of 50 recipients from the data in the Power BI semantic model. For existing subscriptions, we will automatically send subscriptions up to 1000 recipients if your Power BI semantic model contains that many rows of data. You need to edit the subscription if you don’t want to automatically send subscriptions. Learn more about creating dynamic per recipient subscriptions for Power BI Reports and paginated reports .

This feature will be available in some regions as soon as today, however depending on the geography in which your Power BI tenant is located, it may take up to two weeks to appear.

The Power BI Mobile apps support folders in workspace. So, you can access items that are organized in folders inside of your workspace directly from the mobile app.

Workspace and folders are Fabric entities, which means that you can add items that are not necessarily Power BI items to a workspace. But the Power BI Mobile apps only support a subset of Power BI items. Therefore, only the Power BI item will be accessible when you are browsing the folder content from the app. If a folder contains only non-Power BI items, it will appear empty in the mobile app.

When a field in your model is marked as a barcode, you can use your mobile device camera to scan the barcodes of real objects to filter reports that are built on this model. This feature is extremely useful for retail, where you can scan the barcode on a piece of merchandise to get a report showing data about the item directly in your mobile app (for example, inventory information, product selling data, etc.).

To make it easier and more intuitive to use barcodes and based on feedback we’ve gotten from our users in stores, we’ve added a new button to the report footer that makes it a one-click action to clear any previously scanned barcode from the report’s filter.

Learn more about scanning barcode from the mobile app

We continue to simplify the experience of using the Power BI Mobile apps, always keeping in mind the frontline workers who need quick access to their content. In this monthly update we’ve made it possible to open Power BI items on full screen, so users can view their data at its max.

Opening an item on full screen is supported both for launch items and when using a universal link.

A launch item is a Power BI item (report, page, app, etc.) that the user has selected to automatically open when they open the app. Now, you can also tell the Power BI Mobile app to open this item in full screen mode.

To set a launch item to open in full screen mode, go to Settings > Launch item and enable the Open in full screen toggle.

Using an MDM tool that supports an AppConfig file, mobile device administrators can also configure a launch item to be opened in full screen mode for their users.

You can also add the query parameter? fullscreen =1 to a Power BI item’s link. When you use a link with this parameter on your mobile device, the mobile app will open the item in full screen mode.

Visualizations

New visuals in appsource kpi matrix growth rate chart by djeeni v1.4 aimplan comment visual.

Making financial statements with a proper layout has just become easier with the latest version of the Financial Reporting Matrix.

Users are now able to specify which rows should be classified as cost-rows, which will make it easier to get the conditional formatting of variances correctly:

Selecting a row, and ticking “is cost” will tag the row as cost. This can be used in conditional formatting to make sure that positive variances on expenses are a bad for the result, while a positive variance on an income row is good for the result.

The new version also includes more flexibility in measuring placement and column subtotals.

Measures can be placed either:

• Default (below column headers)
• Above column headers

If you have multiple fields showing on your column headers, you can now decide which of these fields you want a column subtotal for.

This is in addition to the already existing features of the Financial Reporting Matrix:

• Adding custom rows
• Applying company/customer specific themes
• Expand/collapse columns
• Conditionally hide columns
• + much more

Highlighted new features:

• New Format Pane design
• Measure placement – In rows
• Select Column Subtotals
• Row Options

Get the visual from AppSource and find more videos here !

A Horizon Chart is an advanced visual, for time-series data, revealing trends and anomalies. It displays stacked data layers, allowing users to compare multiple categories while maintaining data clarity. Horizon Charts are particularly useful to monitor and analyze complex data over time, making this a valuable visual for data analysis and decision-making.

Key Features:

• Horizon Styles: Choose Natural, Linear, or Step with adjustable scaling.
• Layer: Layer data by range or custom criteria. Display positive and negative values together or separately on top.
• Reference Line : Highlight patterns with X-axis lines and labels.
• Colors: Apply 30+ color palettes and use FX rules for dynamic coloring.
• Ranking: Filter Top/Bottom N values, with “Others”.
• Gridline: Add gridlines to the X and Y axis.
• Custom Tooltip: Add highest, lowest, mean, and median points without additional DAX.
• Themes: Save designs and share seamlessly with JSON files.

Other features included are ranking, annotation, grid view, show condition, and accessibility support.

Business Use Cases: Time-Series Data Comparison, Environmental Monitoring, Anomaly Detection

🔗 Try Horizon Chart for FREE from AppSource

📊 Check out all features of the visual: Demo file

📃 Step-by-step instructions: Documentation

💡 YouTube Video: Video Link

📍 Learn more about visuals: https://powerviz.ai/

✅ Follow Powerviz : https://lnkd.in/gN_9Sa6U

ZoomCharts has just launched the latest addition to their suite of user-friendly custom visuals – Drill Down Scatter PRO . It provides all the features you would expect from a great scatter chart visual, but what sets Scatter PRO apart is the ability to easily drill down . Simply click on a data point and see all the values underneath it.

This way, you can quickly find your answers while also gaining a full understanding of where they come from. Furthermore, the visual’s UI is designed to be smooth and user-friendly for PCs and touch devices , and with cross-chart filtering you can use Scatter PRO to build incredible reports for immersive data exploration.

Main features:

• Drill Down: Create a multi-level hierarchy and drill down with just a click.
• Dynamic formatting : Apply custom marker colors, shapes, or images to each data point directly from data.
• Trendlines: Show a linear or polynomial regression line on the chart.
• Thresholds: Display up to 4 line or area thresholds on each axis.
• Area Shading: Highlight up to 8 custom areas with rectangles or ellipses.

🌐 Learn more about Drill Down Scatter PRO

Documentation | ZoomCharts Website | Follow ZoomCharts on LinkedIn

The Image Gallery is the first visual to be certified by Microsoft that allows for the display of high-quality images and their exportation along with other report content. There is no need to upload images to the Cloud, a CDN, or use any datasets . Simply import your images directly into the visual and share them instantly with your colleagues.

This visual boasts several impressive capabilities:

• Microsoft certification ensures that the visual doesn’t interact with external services , ensuring that your images are securely stored and encrypted within the report, consistent with your report’s sensitivity settings.
• Automatically saves your selected image in preview mode , allowing your colleagues to view the exact image you have highlighted.
• Images can be uploaded or removed exclusively in Edit Mode. Users in View Mode can only view the images.
• The visual is compatible with Power BI’s export functionality to PDF and PowerPoint.

LINK: https://appsource.microsoft.com/en-us/product/power-bi-visuals/pbicraft1694192953706.imagegallery?tab=Overview

A space-saving horizontal bar chart designed with category labels placed inside the bars for clarity

This horizontal bar chart serves as an efficient filter to navigate through your data more effectively, optimizing space by placing the category labels within the bars themselves.

• Adjustable Bar Thickness and Spacing: Offers the flexibility to adjust the thickness of the bars and the spacing between them. This allows for optimal use of space and improves readability, especially when dealing with large datasets.
• Tooltip Details on Hover: Displays detailed information about each category when the user hovers over a bar. This feature provides additional context and insights without cluttering the visual.
• Data-Driven Category Labels: Automatically updates category labels based on the data source. This ensures that the chart remains accurate and up to date, reflecting any changes in the underlying data.
• Support for Hierarchical Data: Allows users to drill down into hierarchical categories within the chart. This functionality enables a more detailed data analysis without leaving the context of the initial visual.
• Export Options: Offers the ability to export the chart as an image or PDF, facilitating easy sharing and reporting outside of Power BI.

Link: https://appsource.microsoft.com/en-us/product/power-bi-visuals/pbicraft1694192953706.horizontalbarchart?tab=Overview

Introducing the “ Trends ” visual for Power BI – your gateway to leveraging Google Trends data for strategic business analysis. This innovative visual tool allows you to compare brand popularity, monitor market trends, and gain insights into consumer search behaviors directly within your Power BI environment.

With Trends visual, you can:

• Analyze the ebb and flow of brand interest over time to identify market opportunities and competitive threats.
• Compare the popularity of products to inform marketing strategies and product development decisions.
• Understand seasonal trends to optimize your marketing campaigns and inventory planning.

Securely integrated and easy to use, “Trends” transforms your Power BI reports into a dynamic analysis tool, offering a comprehensive view of the market landscape. Dive into data-driven decision-making with “Trends” and stay one step ahead in the competitive business environment.

New visual: Multi-pane Card can be used to group and show data in multiple collapsible panes in Power BI reports. It is an alternative to multi-row card visual, but it can combine columns into a few groups and put each group’s data in each pane. It is suitable to show data in detail with a reduced number of report pages.

Screenshot 1 (Show data in 3 groups: Area and Population, GDP and Foreign Exchange Reserves for countries)

Data can be sorted by a specified column and numbers can be converted to a human readable string. You can also set up how many rows that you want to show on the card. Using these features, it will be very easy to show “Top 10 best performing stores” or “Top 10 worst performing stores” for retail businesses.

Screenshot2 (Combined with drilldown choropleth map to show the top 10 richest countries by GDP per capita for each continent and subregion)

You can go to Microsoft AppSource( https://appsource.microsoft.com/en-us/product/power-bi-visuals/mylocsinc1648311649136.tcard )to download and try it.

To learn more on how to use it, please read tutorials ( https://www.mylocs.ca/tutorials.html#multi-pane-card ).

Introducing Copilot pane in Power BI Desktop 

Earlier this year, we announced preview of Copilot for all customers with Premium/Fabric capacity in Power BI web . We’re thrilled to share that the same Copilot experience for report creation is now available for preview in Power BI Desktop. With our current preview, users can create reports faster and easier in the Power BI Desktop experience. You can now open the Copilot pane in report view and ask Copilot to:

• Create a report page – Copilot will create an entire report page for you by identifying the tables, fields, measures, and charts that would help you get started.
• Summarize a semantic model – Copilot will help you understand your Power BI semantic model by summarizing the data in your model.
• Suggest a topic – Copilot will suggest topics for your report pages.

Click here to learn more about how to get started.

That is all for this month! Please continue sending us your feedback and do not forget to vote for other features that you would like to see in Power BI! We hope that you enjoy the update! If you installed Power BI Desktop from the Microsoft Store,  please leave us a review .

Also, don’t forget to vote on your favorite feature this month on our community website. 

As always, keep voting on  Ideas  to help us determine what to build next. We are looking forward to hearing from you!

• paginated reports
• power bi desktop
• Visualization