digital transformation accenture case study

November 23, 2020

Accenture Positioned as Leader in Digital Business Transformation Services by Independent Research Firm

NEW YORK; Nov. 23, 2020 – Accenture (NYSE: ACN) has been named a leader in The Forrester Wave™: Digital Business Transformation Services, Q4 2020 report. The report, which includes an analysis of the 10 most significant digital business transformation services providers, ranked Accenture highest in the Market Presence category based on revenue related to CEO-driven digital transformation services, employee counts, and geographic locations.

The independent research firm recognized Accenture as a leader with the top score in the Current Offering category, as well as the Technology Transformation and Operational Transformation criteria. Within the Strategy category, Accenture received the highest scores possible in the Digital Business Transformation Vision, Accelerator Asset Development, and Partner Ecosystem criteria.

According to the report, “while other firms aspire to deliver a similar strategy, Accenture demonstrates the broadest high-quality spectrum of capability delivery of all the vendors in this assessment.” “Helping our clients harness the power of digital to speed their business transformations has been a major focus for Accenture throughout our history,” said Annette Rippert, group chief executive, Accenture Strategy & Consulting. “Given the pace of change this year and how significantly market conditions have shifted, it is even more essential that we double down on the power of technologies like cloud and AI, coupled with human ingenuity, to create value for every industry, for every function, and in every boardroom.” The scope of the report includes the collection of consulting capabilities required to accelerate a client’s ability to successfully transform its business model from a traditional business to a modern digital business, with deep capabilities in support of clients looking to innovate and transform digital business models to drive new revenue growth. This research primarily evaluates a firm’s ability to help clients build their own transformation capabilities, but also looks at how well the firm can deliver the capabilities on behalf of the client. “We believe Forrester’s recognition is further evidence of our ongoing commitment to help our clients make optimal strategic decisions regarding the markets in which they want to grow as well as the technology, business, and operating models that can help enable them to lead during this time of great disruption,” said Kathleen O’Reilly, who leads Accenture Strategy globally. “With experience across industry value chains and a laser focus on 360° value creation, our people develop strategies with our clients that don’t just come from knowing, but from the know-how of doing.” Click here for more information and excerpts of the report. About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 506,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com . Accenture Strategy works with boards, CEOs, and C-suite executives to create 360° value for all stakeholders by defining and answering their most strategic business questions—including growth, profitability, technology-driven transformation, mergers and acquisitions (M&A), operating models and sustainability — with insights from AI and data science, combined with deep industry and function expertise. For more information, follow @AccentureStrat or visit www.accenture.com/strategy . Copyright© 2020 Accenture. All rights reserved # # # Contact: Alexander Aizenberg Accenture +1 917 452 9878 [email protected]

CASE STUDY MARRIOTT INTERNATIONAL

Creating five-star associate experiences

Accenture and Marriott International created a new global HR hub that delivers employee experiences as exceptional as the guest experiences that make Marriott, Marriott.

3-MINUTE READ

Marriott International has a reputation for creating exceptional guest experiences. However, like most brands that have been around for nearly a century, legacy systems across the organization made it tough to show that same love to associates.

Over the years, Marriott International’s HR system had become an increasingly intricate web of multiple vendors, making it difficult to operate across regions—all with vastly different regulatory, compliance and security environments.

To bring a more personalized experience to its people, the hospitality leader worked with Accenture to reimagine its HR technology and launch a new Human Capital Management (HCM) system powered by Oracle Fusion.

Find out how Marriott International worked with Accenture and Oracle to reinvent global HR.

Serving up simplicity

The new cloud-based platform, mHUB, enables quick, personalized access to associate information, learning and training details, internal job opportunities and other critical HR resources across 15 different languages.

This AI-powered solution also gives leadership access to more accurate, robust, real-time data so they can understand the true cost of business and make more informed decisions.

Most importantly, mHUB put control of data back into the hands of associates by allowing them to update their personal information, ensuring both security and accuracy.

Since go-live, Marriott International associates have completed more than 18 million learning courses.

Accenture and Marriott International worked in tandem on different aspects of the transformation to ensure mHUB was a win for associates. Accenture focused on technology enablement while Marriott International took the lead on training development and change management. Since go-live, Marriott International associates have completed more than 18 million learning courses. Additionally, hiring managers can review six million candidates to find the right person for the right job and rapidly onboard more than 200,000 new hires.

Marriott International also introduced an Employee Stock Purchase plan (ESPP) in the US to help attract and retain talent, drive associate engagement and foster a culture of ownership throughout the business. The new ESPP integrates with mHUB to allow associates to purchase stock at a significant discount through payroll deductions.

Room to grow

To date, mHUB remains one of the largest implementations of Oracle Cloud HCM, with 14 Oracle technologies and 10 HCM modules rolled into one solution.

Today, Marriott International is bringing its legendary personalized experiences to its people across its 31 brands, 8,600 properties, and 139 countries. With deeper insights into its global workforce, Marriott International is reimagining the future of hospitality jobs by innovating to drive greater associate engagement, career growth, scheduling flexibility and financial wellbeing.

Having a truly global platform to support our associates’ growth and development is a tremendous competitive advantage for Marriott International. The invaluable insights we gain from this global foundation are helping to shape our talent programs worldwide.

Ty Breland / Executive Vice President and CHRO, Marriott International

We are making bold moves, together

Changi Airport has been ranked the World's Best Airport twelve times. To take the traveler experience to new heights, we created ChangiVerse, an immersive metaverse experience.

Accenture and BMW teamed up to create a new platform that uses generative AI to drive decisions across North America, accelerating productivity and experiences.

BBVA worked with Accenture to become one of the world’s most customer-centric banks. Using digital technology to reach people where they are has helped them see massive growth.

MEET THE TEAM

Dyllis Hesse

Client Account Lead – North America

Shawn Craig

Managing Director – Travel

Nishant Manchanda

Managing Director

Brian Young

Managing Director - Oracle Business Group

Accenture: Digital Transformation capabilities assessment

• digital transformation
• Internet of Things
• Artificial Intelligence
• distributed ledger
• Robotic Process Automation (RPA)
• Suruchi Dhingra

The report examines the capabilities of Accenture in Digital Transformation. It provides a comprehensive review of the products, services, and capabilities of Accenture across 11 technology areas and dozens of functions, to determine the core strength of Accenture for meeting enterprise needs. The 11 technology families in which the vendors capabilities are assessed are IoT, Hyperconnectivity, Human Machine Interface, Artificial Intelligence, Distributed Ledger, Data Sharing, Product Lifecycle Management, Robotic Process Automation, Edge Computing, Autonomous Robotic Systems, and 3D Printing & Additive Manufacturing. While these might not encompass every possible technology that organisations might need in order to purse a Digital Transformation, they certainly represent the most disruptive, and therefore the ones of which enterprises should be most aware.

The report includes rating across each of the technology areas and functional capabilities (specialised hardware, general hardware, software products, integrated solutions, application development, systems integration and project management, specialist services, field & operational services) using Transforma Insight’s four-level universal rating system for vendors in Digital Transformation. Internet of Things, for instance, spans hardware, software, application development, implementation, field services and specialist services. For each of the 92 combinations of function and technology, Accenture is rated for whether its capabilities are ‘Emerging’, ‘Significant’ or ‘Market Leading’ (or ‘None’). This rating is based on both the credibility of the solution and the position of the offering in the market (e.g. market share).

Accenture has secured a rating of 31% in Digital Transformation capabilities compared to that theoretical maximum (a theoretical organisation that is ‘Market Leading’ in every aspect of providing Digital Transformation across all technologies).

It has strong capabilities in Artificial Intelligence, Robotic Process Automation and Distributed Ledger. It also has decent capabilities in IoT and Autonomous Robotic Systems. In IoT most of its capabilities are inclined towards system integration and application development.

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Case studies in business analytics with ACCENTURE

This course is part of Strategic Business Analytics Specialization

Taught in English

Some content may not be translated

Instructor: Nicolas Glady

Financial aid available

26,627 already enrolled

(205 reviews)

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There are 3 modules in this course

Who is this course for ?

This course is RESTRICTED TO LEARNERS ENROLLED IN Strategic Business Analytics SPECIALIZATION as a preparation to the capstone project. During the first two MOOCs, we focused on specific techniques for specific applications. Instead, with this third MOOC, we provide you with different examples to open your mind to different applications from different industries and sectors. The objective is to give you an helicopter overview on what's happening in this field. You will see how the tools presented in the two previous courses of the Specialization are used in real life projects. We want to ignite your reflection process. Hence, you will best make use of the Accenture cases by watching first the MOOC and then investigate by yourself on the different concepts, industries, or challenges that are introduced during the videos. At the end of this course learners will be able to: - identify the possible applications of business analytics, - hence, reflect on the possible solutions and added-value applications that could be proposed for their capstone project. The cases will be presented by senior practitioners from Accenture with different backgrounds in term of industry, function, and country. Special attention will be paid to the "value case" of the issue raised to prepare you for the capstone project of the specialization. About Accenture Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions—underpinned by the world’s largest delivery network—Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With more than 358,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com.

Introduction to case studies in business analytics with Accenture

In this introductory module, Fabrice Marque, Managing Director Customer Strategy Practice Lead for France, Belgium and the Netherlands, also in charge of the ESSEC-Accenture Strategic Business Analytics Chair, will first introduce the MOOC in general. Then Michael Svilar, Global Accenture Data Science Group Lead, will identify the general trends in this sector. In this module, we will cover three different real-life examples. First, Rohit Banerji, Accenture business lead responsible for big data analytics for the resource sector, will present an example from a water utilities company. Second, Cian O’Hare, Managing Director at Accenture Digital, will present a case study from a global communication provider. Finally, Christopher Gray, public service expert at Accenture, will discuss challenges arising in the public sector where Analytics and Big Data can provide effective solutions. At the end of each example there will be quiz questions. Note that those questions may require you to collect additional information from that which was delivered during the videos. Do not hesitate to consult additional books, websites and examples about this topic: some of the answers can actually be found directly thanks to open access research engines or online encyclopedias! The objective with this final MOOC in the Strategic Business Analytics specialization is to assess whether you now master the different concepts that are implemented within this field.

What's included

8 videos 3 quizzes 1 peer review

8 videos • Total 38 minutes

• Introduction to Case Studies in Business Analytics with Accenture - Fabrice Marque • 2 minutes • Preview module
• Market trends and key challenges in Analytics - Mickael Svilar • 2 minutes
• Why is Big Data really big? - Nicolas Glady • 5 minutes
• Winning in Digital: Powered by Analytics - Jean-Pierre Bokobza • 7 minutes
• Big data & predictive maintenance in the Utilities sector - Rohit Banerji • 4 minutes
• Big data & advanced analytics in the Communications industry - Cian O’Hare • 4 minutes
• Advanced Analytics in the Public Service - Christopher Gray • 6 minutes
• Wrap-up: a conceptual framework of the applications of Big Data Analytics - Nicolas Glady • 5 minutes

3 quizzes • Total 90 minutes

• Practice Quiz on resource Sector case • 30 minutes
• Practice Quiz on the Global Communication case • 30 minutes
• Practice quiz on the Public Service case • 30 minutes

1 peer review • Total 60 minutes

• Predictive maintenance for a water supplier : Internet of things • 60 minutes

Digital Transformation in the Media, the Financial Services and the Retail Sector

During this module, different real-life examples will be discussed. Christine Removille, Digital Marketing Lead at the European Level, will present a data-centric digital transformation at a French TV company: Canal +. Edwin Van der Ouderaa, Financial Services Lead, will then explain how digital developments and data are disrupting the financial service sector.At the end of each video there will be quiz questions. Do not hesitate to consult additional books, websites and examples about this topic! The objective with this final MOOC in the Strategic Business Analytics specialization is to assess whether you now master the different concepts that are implemented within this field.

7 videos 2 quizzes

7 videos • Total 47 minutes

• Context - Christine Removille • 7 minutes • Preview module
• Solution and success factors - Christine Removille • 15 minutes
• Introduction and key digital trends in Financial Services • 3 minutes
• Analytics capability based on “People like you" • 6 minutes
• How to leverage “People like you” micro-segmentation - Example 1 – Increase campaign yield • 3 minutes
• How to leverage “People like you” micro-segmentation - Example 2 – Optimize pricing • 5 minutes
• Digital transformation and wrap-up • 6 minutes

2 quizzes • Total 60 minutes

• Practice quiz on the "Canal+" case study • 30 minutes
• Practice quiz on the financial service case study • 30 minutes

Advanced Analytics in Healthcare and the Pharmaceutical industry / Wrap up and Introduction to capstone

During this module, two different real-life examples will be discussed. First, Paul Pierotti, Managing Director at Accenture Digital, will explain how Analytics can transform how health services are delivered. Second Xavier Cimino, Managing Director in charge of the Analytics Practice in the Life Science industry for Europe, will present an award-winning project in this sector. At the end of each video, there will be quiz questions. Do not hesitate to consult additional books, websites and examples about this topic! The objective with this final MOOC in the Strategic Business Analytics specialization is to assess whether you now master the different concepts that are implemented within this field.Finally, Michael Svilar, Global Accenture Data Science Group Lead, will conclude the MOOC.

12 videos 2 quizzes 1 peer review

12 videos • Total 40 minutes

• Healthcare analytics: a conceptual framework - Nicolas Glady • 4 minutes • Preview module
• Introduction and key challenges - Paul Pierotti • 2 minutes
• Correlation between life expectancy and health spending - Paul Pierotti • 1 minute
• Presentation of 5 Health Analytics use cases - Paul Pierotti • 2 minutes
• Focus on Care Management for patients with chronic diseases - Paul Pierotti • 4 minutes
• Wrap up - Paul Pierotti • 1 minute
• Advanced Analytics in the Pharmaceutical industry - Xavier Cimino • 7 minutes
• How to create value from data? - Fabrice Marque • 2 minutes
• Wrap up - Mickael Svilar • 1 minute
• Data exploration is an iterative process - Nicolas Glady • 4 minutes
• Analytics exploration - Oonagh O’Shea & Noelle Doody • 4 minutes
• Wrap up & Capstone guidelines - Nicolas Glady • 2 minutes
• Practice quiz on the health service case • 30 minutes
• Practice quiz on the Life science industry case • 30 minutes
• Preparation for the capstone project • 60 minutes

Instructor ratings

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For over a century, ESSEC has been developing a state-of-the-art educational program that gives the individual pride of place in its learning model, promoting the values of freedom, openness, innovation and responsibility. Preparing future managers to reconcile personal interests with collective responsibility, giving consideration to the common good in their decision-making, and weighing economic challenges against the social costs are some of the objectives ESSEC has set for itself. Its ultimate goal? To create a global world that has meaning for us all.

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205 reviews

Reviewed on Nov 19, 2016

Good cases examples in practice, while quiz should be improved.

Reviewed on May 4, 2020

Excellent accumulation of relevant case studies across industries, very well planned modules and interesting project assignments!

Reviewed on Mar 22, 2016

Seems quite good and realistic but at times a little too general

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Analytics , Compute , Partners

Accenture and Microsoft drive digital transformation with OnePlatform on Microsoft Azure Data Manager for Energy for OSDU™

By Kadri Umay Principal Program Manager

Posted on October 31, 2022 7 min read

• Tag: Microsoft Azure Data Manager for Energy

This post was co-authored by Sacha Abinader, Managing Director, Accenture and Keith Armstrong, Senior Manager, Accenture Microsoft Business Group.

Accelerate decision-making and interoperability with the OSDU Data Platform

The OSDU™ Forum is a cross-industry collaboration to develop a common, standards-based, and open platform for the exploration and production (E&P) community with the goal to liberate and enable greater access and insight into your valuable data. The OSDU Data Platform promise is compelling and offers value beyond what can be achieved with in-house solutions through established industry standards and openness to the larger technology ecosystem. Accenture has partnered with Microsoft and collaborated closely with SLB during the Microsoft Azure Data Manager for Energy preview and development process. In addition to Accenture’s domain expertise and digital integration acumen, the preview experience has allowed Accenture to develop skills and scale a team specific to this offering to enable an operator’s OSDU Data Platform journey at pace.

As such, the OSDU Data Platform as an industry solution has been a top priority for Accenture with significant investments in skills, people, assets, and our presence and leadership as part of the OSDU Forum.

“ We are thrilled to be a services partner for Azure Data Manager for Energy. The partnership with Microsoft and SLB in enabling an open platform has been wonderful. As part of preview, Accenture has been driving for interoperability across the technology ecosystem to bridge siloed teams and has partnered with SLB and several ISVs to make this a reality. We are excited to enable operators to create additional value through improved and accelerated decision making and the development of new workflows and analytics. ”—Emma Wild, Managing Director, Global OSDU Lead.

Accenture has been actively involved in the OSDU Data Platform initiative for several years. In addition to our commitment to the OSDU Forum, we have developed our own vision and strategy as to how we can support OSDU Data Platform integration into E&P workflows and how we can increase operators’ business capability and data value.

Accenture understands our clients’ challenges and is their partner for complex transformations

Our partners and clients want access to secure, clean, and curated data. To achieve this, they must liberate and migrate their data to the OSDU Data Platform. Our clients are dealing with large and highly complex data sets that have varying quality and formats. They also need to manage their ongoing business using the current and future capabilities of the OSDU Data Platform with its continual improvements of new data types and features. Accenture has planned a strategy that supports the transition from monolithic apps and data to the OSDU Data Platform at pace. Accenture and Microsoft are partners on this transformational journey as seen in Figure 1.

Our vision, your value

To be successful we believe there is a need to create and support a solution that provides an end-to-end business capability, focusing on business value and time-to-value acceleration .

Our approach will quickly prepare and present data to the user via the OSDU Data Platform irrespective of its current functionality and capability. By integrating and consolidating data in a standard format and enabling the interoperability of the platform across ISVs, operators can unlock the milestones to the right of the diagram and deliver the accelerated value they’ve been promised.

We think of it as supporting a data life cycle and journey to mitigate perceived risks due to the evolving nature of the OSDU Data Platform while continually improving your business workflows.

Why choose Azure Data Manager for Energy?

We recognize the complexity and risks involved in the transition and migration to the OSDU Data Platform. While energy companies have always managed E&P risk and uncertainty, there is generally a much lower appetite when it comes to IT and digital platforms. As a result, the industry is increasingly seeking packaged solutions or out-of-the-box delivery structures. This enables them to realize the visions promised by the OSDU Data Platform yet still focus on the “day job” and running their operations and business. These solutions and structures help de-risk the journey and minimize disruption to business continuity. Recognizing this, Microsoft developed an open-packaged solution to offer the OSDU Data Platform as a PaaS through Azure Data Manager for Energy.

Azure Data Manager for Energy was designed to support the energy industry’s ambition to accelerate innovation, develop enhanced insights to drive operational efficiency, and inform new ways of working and workflows. Azure Data Manager for Energy can accelerate the journey to a cloud-based OSDU Data Platform and thus, the path to value.

Accenture and Azure Data Manager for Energy collaboration

Accenture has helped deploy and test Azure Data Manager for Energy through the preview stages to provide feedback to Microsoft Engineering. Accenture is focused on connecting data to business value and working with Microsoft to deliver a fully integrated approach using the OSDU Data Platform to accelerate digital transformation. Accenture demonstrated this during the preview by deploying the Azure Data Manager for Energy solution, ingesting data with OSDU core service tools and Accenture proprietary tools, and stitching together a data workflow across multiple ISVs to validate the openness of the platform. During this process, Accenture has built a team that can help deploy and scale on Azure Data Manager for Energy.

Azure Data Manager for Energy differentiates itself as it will allow and enable:

• Integration with virtually any energy dataset, application, or cloud service with built-in tools.
• Management for compute-intensive workloads at a global scale.
• Compliance with the OSDU Technical Standard for open source innovation.
• Ease the deployment of the OSDU Data Platform while providing ongoing platform and management support to align to OSDU Data Platform deployments.
• Rapid data ingestion for analytics and decision-making.
• Increase operational efficiency and gain global scalability while reducing operational costs.
• Comprehensive security and compliance.
• Ability to easily leverage native Azure and Microsoft solutions.

Azure Data Manager for Energy further builds on and enables the OSDU Data Platform value drivers:

• The ability to access clean and curated historical data under a single data platform.
• Open access to innovation and a wider set of technology partners (ISVs).
• Removes siloes and barriers between disciplines and lays the foundation for digital transformation.

Accenture’s specific capabilities and toolkit

Data on its own is not the answer, and Accenture has been working hard to offer end-to-end services and tools which connect the full enterprise and business. The journey requires the need to deliver clean data to unlock value through data science, deploy, and roll out these solutions across global operations, and importantly, to instill trust from end users and the business to allow the value to be recognized.

Figure 4: Accenture’s OnePlatform Data Workflow.

Accenture OnePlatform is a cloud-agnostic platform and one-stop solution for data extraction, schema mapping, metadata generation, and data ingestion that is operationally efficient. Accenture OnePlatform enables OSDU Data Platform services that are available with just one click without any need for extra plugins or any open source installations.

Some of the key highlights of Accenture OnePlatform are outlined below:

• Orchestration of the OSDU Data Platform : Provide end-to-end delivery of business workflows via a single interface.
• Data extraction : Extracting different data types by using a data type converter such as LAS, SegY, or ResQML.
• Schema Mapping : Mapping client data with Accenture OnePlatform–compliant data types by using AI/ML models.
• Metadata Generation : Generating metadata by using AI rule-based approach.
• Data Ingestion : Ingestion workflow. Running on click solution using python utilities.
• Data Validation : Validating records using python utilities by adding customized rules.
• Data Quality : Intelligent way to set up the rules and do the quality checks automatically.
• Knowledge Graph : Build Accenture OnePlatform-based ontology and give the semantic result to the customer.

In addition, the Accenture OnePlatform can serve as an orchestration tool across multiple SaaS ISV solutions. We know interoperability is a key value driver for choosing OSDU. Accenture has played a major role in ISV’s integration by collaborating with various ISVs and Microsoft for collective purpose of consuming the data available in single data platform. Accenture is working with several leading ISVs for development of their applications to fetch data according to the schemas from the OSDU Data Platform and Azure Data Manager for Energy, offering best-in-class interoperability and the ability to deliver end-to-end business workflows. Azure Data Manager for Energy with Accenture’s support has demonstrated the integration of DELFI with multiple ISV applications, such as Interica and Ikon Science, and we were pleased to demonstrate this at the SLB Digital Forum 2022.

In closing, Accenture is committed to being a leading partner to help operators navigate the uncertainties around OSDU Data Platform implementation, manage the risks of deployment, and realize the full value of their data.

We believe Accenture is best placed to deliver on these commitments and enable your value based on our deep industry expertise, investments in accelerators like the Accenture OnePlatform, 14,000+ dedicated oil and gas skilled global practitioners with 250+ OSDU™-trained professionals, and our extensive ecosystem relationships. We are confident that our capabilities and our partnership with Microsoft are key to helping operators execute and scale their OSDU Data Platform transformation with Azure Data Manager for Energy and the interoperability of the platform.

How to work with Accenture on Azure Data Manager for Energy

Azure Data Manager for Energy is an enterprise-grade, fully managed, OSDU Data Platform for the energy industry that is efficient, standardized, easy to deploy, and scalable for data management—for ingesting, aggregating, storing, searching, and retrieving data. The platform will provide the scale, security, privacy, and compliance expected by our enterprise customers.

• Get started with Azure Data Manager for Energy.
• Learn more about Accenture’s OSDU Capabilities.

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General Mills: Transforming food using data, analytics, and AI

About General Mills

General Mills makes food the world loves. The company is guided by its Accelerate strategy to drive shareholder value by boldly building its brands, relentlessly innovating, unleashing its scale, and standing for good.

Tell us your challenge. We're here to help.

About Accenture

Accenture is a professional services company that helps the world’s leading organizations build their digital core and accelerate revenue growth.

General Mills delivered a modernized tech foundation, enabling teams, strategic revenue management, and supply chain digitization while enhancing resiliency and scalability of its data and technology platforms.

Google cloud results.

• Completed 36-month data lake migration in 21 months offering capabilities faster and streamlined data management practices
• Migrated 85% of HQ-based hosted applications from on-premise data center to Google Cloud
• Implemented broad education program across infrastructure engineering and business teams to scale quickly and maximize impact
• Increases the company's enterprise agility by providing single source of truth data and improved analytic capabilities

Optimized supply chain by moving data to BigQuery

With a list of accolades, including the first singing radio ad to creating the first granola bar, General Mills has been a market leader in food for more than 155 years. The company currently operates more than 100 brands in just as many countries, and those numbers continue to grow. To keep up with its own growth goals and continue to make food the world loves, General Mills embarked on a journey to become the leader in digital, data, and analytics in food.

Aiming to be the industry leader in data analytics

General Mills found that its on-premise data and analytic capabilities were limiting its ability to work at the pace it wanted to. The company’s corporate strategy involves growing its analytics capabilities to differentiate itself in the marketplace. To get the deeper analytics the team needed (and to future-proof growing computing demands), General Mills found that the next step in its evolution was going to be rooted in building a new technological foundation that could better support in-depth analytics at scale.

General Mills had outgrown its on-premise data and analytic ecosystem. This resulted in a sub-optimal analytic experience due to performance issues and limited capabilities. The company needed to modernize its underlying foundation, and refresh its approach to data management, data governance, roles, and pipeline processes (discover, ingest, transform, and load). General Mills also wanted to be certain whatever technology it invested in was highly scalable for its own business needs and backed by a trusted company with a reputation for continuous innovation that would be a partner for decades to come. "We didn’t just need a place to store or consume data, we wanted a collaborator that could help us scale the most advanced data management in the industry," said Jaime Montemayor, Chief Digital & Technology Officer at General Mills.

"When we looked at our own road map and at the Google Cloud AI and machine learning road map, we recognized we were moving in the same direction," added Jason Staloch, General Mills’ VP of Digital Core.

"We didn’t just need a place to store or consume data, we wanted a collaborator that could help us scale the most advanced data management in the industry."

A new data infrastructure for a new generation of General Mills

Given the enterprise strategy to lead in data and analytics, General Mills first prioritized its data lake migration, dubbed the Cloud Analytic Acceleration Program. General Mills turned to Accenture to help bring the vision to life. "Accenture was a key part of helping us execute our migration strategy," said Staloch. "They already had experience working in Google Cloud and with the broader architecture that we were moving toward. That kind of insight was tremendously helpful."

Once the data lake migration efforts were well underway, the company set its sights on its data center and hosted workloads. The "Cloud Transformation" program's mission was to rationalize the company’s application portfolio before activating a "lift-and-optimize" strategy of the underlying infrastructure on its journey to Google Cloud. General Mills’ goal was to move 85% of the workloads hosted at its world headquarters location in Minneapolis. The remaining 15% were intentionally left on-premise for various reasons.

While migrations were a key outcome, they were not the sole outcome. The Transformation team focused on developing learning and education pathways as well as evolving its infrastructure engineering operating model into squads and platform teams. "Early on, when we encountered challenges, there was a sense of general anxiety across our teams as we figured out terminology, technology, and patterns," said Jennifer Hon, Senior Director of Technology Strategy and Enterprise Architecture at General Mills. "But between the learning agility of our employees, our Google and Accenture teams, we steadily increased our level of expertise. After just a few months, our collective confidence increased tremendously and we were able to knock down challenges as quickly as they popped up."

From a technology perspective, the newly trained team adopted BigQuery as its single enterprise data warehouse to move its workloads. "Having a scalable place to land all our data helps us move quickly and gives us the confidence that as we get more data, we have the tools we need to go fast. To process, analyze, and act on our data to improve and grow the organization," said Rich Rubenstein, VP of Data Analytics at General Mills.

With the foundation of its cloud transformation journey in place in BigQuery, General Mills has been able to scale its analytics capabilities with Google Cloud. The organization is using Vertex AI in combination with Looker and the Apigee API Management to enable its supply chain digitization efforts and improve visibility into financial data. This helps multiple teams make more informed decisions around pricing, price pack architecture, trade relationships, and distribution. For example, General Mills’ major mergers, acquisitions, and divestitures strategy is a business area bolstered by these new analytics capabilities. "As we execute on new M&A activity, we can use Google Cloud to facilitate the integration of new acquisitions into our larger datasets and make clearer decisions about potential deals in the future," said Montemayor.

Delivering more food people love with the power of the cloud

By focusing on building this new foundation for its technical infrastructure, General Mills will be able to reach more customers faster and more efficiently than ever. The company’s transformation programs were originally slated to take nearly three years, but it was able to execute on the plan more than 30% faster in just 21 months with Accenture's support. The data center migration team also partnered with Accenture, leveraging their factory model to accelerate and optimize the migration efforts.

Following the data lake and data center migrations, the last phase involves modernizing internal applications and putting that new technology in the hands of internal champions. "We are pleased with our progress so far. We’re excited to grow beyond hosting on Google Cloud and take advantage of the additional building blocks it offers," said Hon. "For example, with ephemeral infrastructure, we can spin up and tear down cloud assets leveraging infrastructure as code capabilities at a much more rapid pace. We also continue to evolve our usage, taking advantage of new options we didn't have available before." With more flexible infrastructure, technical teams can support the wider business by analyzing, digitizing, and automating parts of processes like supply chain management to help General Mills scale.

"We’re excited to grow beyond hosting on Google Cloud and take advantage of the additional building blocks it offers. For example, with ephemeral infrastructure, we can spin up and tear down cloud assets leveraging infrastructure as code capabilities at a much more rapid pace."

Another fundamental part of this digitization is General Mills’ transition to an API-based infrastructure. "Effectively using APIs can help drastically reduce our time to market," said Montemayor. "With a more connected infrastructure, we can continue to be a more flexible and competitive organization."

As General Mills sets its sights on another 155 years of making foods, the company has set the foundation for a faster, more efficient, and hyper-scaling business. "We’re not at the end of our Google Cloud journey. We're at the beginning," said Staloch.

"And that journey is materializing thanks to the ecosystem of technologies that Google Cloud is building," added Rubenstein. "Between its SaaS partners, Google Cloud generative AI capabilities, and the cloud solutions we’re already using, our jobs keep getting easier, and that's what we expected to see with Google Cloud."

"Effectively using APIs can help drastically reduce our time to market. With a more connected infrastructure, we can continue to be a more flexible and competitive organization."

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The Two Big Reasons That Digital Transformations Fail

• Mike Sutcliff,
• Raghav Narsalay,

Results from a study of 1,350 companies.

Plenty of cash is flowing into digital initiatives at large, industrial companies. The problem is that the expected results often fail to materialize. The primary reason: unsuccessful efforts to scale digital innovations beyond early pilot work. An Accenture study identified the root causes — unclear goals from top management and inadequate resources to scale projects — and how to overcome those challenges.

Plenty of cash is flowing into digital initiatives at large, industrial companies. In fact, the executives we surveyed recently at 1,350 of these businesses globally reported investments in digital reinvention totaling more than $100 billion between 2016 and 2018.

• Mike Sutcliff is the group chief executive of Accenture Digital. Connect with him on Twitter and LinkedIn .
• Raghav Narsalay is global research lead on Industry X for Accenture and is based in Mumbai.
• Aarohi Sen is a manager at Accenture Research in Delhi.

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Resolving Workforce Skills Gaps with AI-Powered Insights

Ongoing digital transformation requires a workforce that is proficient in a wide variety of new skills. This briefing explores the use of AI in quantifying such proficiency, through a process known as skills inference. We introduce this concept by means of a case study of Johnson & Johnson, showing how skills inference can provide detailed insight into workforce skills gaps and thereby guide employees’ career development and leaders’ strategic workforce planning.

The April 2024 research briefing is read by author Nick van der Meulen.

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© 2024 MIT Center for Information Systems Research, van der Meulen, Tona, and Leidner. MIT CISR Research Briefings are published monthly to update the center’s member organizations on current research projects.

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Developing a digital-first workforce: ai-driven skills enablement at johnson & johnson.

About the Researchers

Nick van der Meulen, Research Scientist, MIT Center for Information Systems Research (CISR)

Olgerta Tona, Lecturer, University of Gothenburg and Academic Research Fellow, MIT CISR

Dorothy E. Leidner, Professor, University of Virginia and Academic Research Fellow, MIT CISR

Mit center for information systems research (cisr).

Founded in 1974 and grounded in MIT's tradition of combining academic knowledge and practical purpose, MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We work directly with digital leaders, executives, and boards to develop our insights. Our consortium forms a global community that comprises more than seventy-five organizations.

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MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We provide insights on how organizations effectively realize value from approaches such as digital business transformation, data monetization, business ecosystems, and the digital workplace. Founded in 1974 and grounded in MIT’s tradition of combining academic knowledge and practical purpose, we work directly with digital leaders, executives, and boards to develop our insights. Our consortium forms a global community that comprises more than seventy-five organizations.