Chief Data and Analytics Officer Research Publication List

Here is a list of our publications to date - it is kept current as we release more publications.

[Last updated: April 18, 2022]

The Team

• Jitendra Subramanyam (LinkedIn)
• Kevin Gabbard (LinkedIn)
• Akash Krishnan
• Dalia Naguib
• Eugene Walton
• Richa Jha
• Sanchi Bhat

Our Research Coverage Areas

• Business Value of Data & Analytics
• Data & Analytics Strategy and Planning
• Data & Analytics Quality and Ethics
• Data & Analytics Talent

Business Value of Data & Analytics

• 4 Case Studies for Developing and Governing Enterprise Data SharingNEW!
  Pervasive siloing of data and resistance to data sharing limit the value of data and analytics. From these four case studies, data and analytics leaders can learn how to increase access to D&A and develop risk-adjusted business cases to unlock the business value of data and analytics.
• Infographic: Cross-Industry Benchmark of IT Score for Data and AnalyticsNEW!
  Gartner's IT Score for Data and Analytics benchmarks the maturity level and importance of 25 activities across six objectives that are essential for data and analytics leaders worldwide. This infographic shows how the most mature organizations behave differently from all others.
• How Graph Techniques Deliver Business ValueNEW!
  Graph techniques are a key component to modern data and analytics capabilities because they span linguistic and numeric domains. Data and analytics leaders must first adopt graph technology and then promote the value it adds in answering increasingly complex business questions.
  
• Case Study: Attract and Retain Talent With Value-Driven Data Science (Asurion)NEW!
  Asurion has achieved a 93% talent retention rate by recruiting for and engaging on three things that drive data scientists: impact, inclusive community, and creative freedom. Data and analytics leaders can follow Asurion's approach to improve the management of D&A talent in their own organizations.
• Case Study: Don't Create Data and Analytics Stewards; Find Them (Exact Sciences)NEW!
  Many organizations have business SMEs who already perform what data and analytics leaders look for in a D&A steward role. Instead of proposing a new role, Exact Sciences identifies and supports the business SMEs who already do D&A stewardship to create a strong governance community across the enterprise.
• Tool: Scorecard to Identify Data Stewards in Business Teams
  Use this scorecard to identify and collaborate with potential data stewards who already exist in business teams to execute governance strategy more effectively.
• Case Study: Business Must Drive Data Stewardship (Ovintiv)
  Ovintiv empowers business stakeholders to head and drive its data stewardship. Data and analytics leaders can learn how to use community-generated ideas to develop pragmatic governance requirements that sustain business-aligned adaptive governance and willing compliance.
• Data Governance to Establish Enterprisewide Data Sharing (B3)
  B3 promotes enterprisewide data sharing by taking a value-first, "risk-adjusted" approach to data governance. D&A leaders can learn how to create a culture of proactive enterprisewide data sharing while balancing risk and return, resulting in cost savings and increased net new revenue.
• Case Study: Sustainable Data Governance Through Effective Compliance (Royal Bank of Canada)
  Governance is never finished; to be effective it has to be sustained by business users. Royal Bank of Canada (RBC) shows data and analytics leaders how to align governance activities with business users' workflows by tying these activities to outcomes that business users already care greatly about.
• Case Study: Practical Data Literacy (Kraft Heinz)
  Enterprisewide adoption of data and analytics is often inhibited by both cultural and technical issues. Data and analytics leaders can learn how Kraft Heinz develops its data literacy program to enable business users to create their own solutions.
• Ignition Guide to Implementing High-Performing Data Engineering
  Data and analytics leaders face data integration challenges. This guide can help them modernize their enterprise data engineering practices, streamline integration and increase the consumability of enterprise data.
• Case Study: Actionable Dashboard Creation (ABB Electrification)
  Dashboards are a core way to deliver insights, but often are cluttered with irrelevant metrics, confusing visualizations and poor data quality. The D&A leader at ABB Electrification's dashboards report strategic insights and exceptions that drive rapid executive action and improve data quality.
• Case Study: Driving Speed to Value with AI/ML (Kaiser Permanente)
  Data and analytics leaders must recognize that complex business problems do not need complex data science to generate value. Kaiser Permanente improves speed to value by developing a deep understanding of business workflows and creatively deploying D&A solutions.
• Case Study: Getting Value From D&A Innovation Failures (Brussels Intercommunal Transit Company):
  Brussels Intercommunal Transit Company built a culture of D&A innovation and realized significant savings in maintenance costs with no innovation budget, mandate or dedicated talent. This case study shows data and analytics leaders how to set up projects so that failure is as valuable as success.
• 3 Case Studies of Data- and Analytics-Driven Business Innovation:
  Data and analytics leaders, learn here how three progressive peers have built data- and analytics-driven innovation into their engagements to rapidly generate business value.
• Case Study: A Culture of Data Literacy and Data-Driven Decision-Making (Froedtert & the Medical College of Wisconsin)
  Find out how the CDAO at Froedtert addresses the human challenges that prevent business partners from making data-driven decisions through targeted coaching and relationship building.
• Case Study: Monitoring the Business Value of AI Models in Production (Georgia Pacific)
  Do your predictive models leak value in production? Do you *know* if they do? Learn how Georgia Pacific monitors their AI models to ensure they generate the most value possible.
• Case Study: Entity-Event Knowledge Graph for Powering AI Solutions (Montefiore) Do data and analytic silos prevent your organization from rapidly developing AI solutions? Find out how Montefiore uses an event-entity knowledge graph to organize its data and accelerate the development of AI models.
• Case Study: AI Innovation with Startups (Stora Enso)
  Learn how Stora Enso partners with early-stage startups to rapidly develop innovative, bespoke solutions to their business problems.
• Build the Data & Analytics Core and Deliver Value Simultaneously
  Don't fall into the trap of building up your talent and D&A core before delivering value; learn how D&A organizations do both at the same time here!
• Ignition Guide to Creating, Measuring, and Improving the Performance of a Machine Learning Model
  Measuring the performance of a machine learning model is sometimes more of an art than a science. Follow these steps to measure and improve your machine learning model!
• 3 Ways to Monetize Data and Analytics
  Learn how three progressive organizations overcame common roadblocks to monetize data and analytics!
• 13 Ways Real-World Companies Deliver Measurable Value with Data and Analytics
  D&A is a value-generating activity. Ensure your team generates business value by following these 13 strategies sourced from real-world companies!
• Case Study: Answering Critical Business Questions with Graph Analytics (Jaguar Land Rover)
  D&A is supposed to solve business problems. All too often, these efforts run aground because business units and data teams lack a shared understanding of data. Learn how JLR uses Graph to connect business and data domains in order to ask and solve difficult business questions.
• Case Study: KPI-Led Data and Analytics Digital Transformation (St. Luke's)
  Data and analytics leaders struggle to get business buy-in for transformation efforts. St. Luke's justified their transformation as crucial to the organization's ability to calculate cross-functional KPIs at scale. This won them buy-in and enabled rapid response to the COVID-19 crisis.
• Case Study: Data and Analytics Monetization with Knowledge Graphs and AI (Turku City Data)
  Learn how knowledge graphs allowed Turku city's data team to quickly monetize their data and analytics assets.
• Advanced Data and Analytics; What Do Leading Organizations Do?
  Learn the perspectives, practices, and strategies that have made leading D&A organizations so advanced.
• Case Study: Data Monetization Through Data Product Development (ZF Group) Successful data monetization requires much more than just selling your organization's data! Learn how ZF Group monetized their data by building and selling powerful data products.
• Tool: D&A Use Cases to Improve Operational and Financial Performance
  As your organization transitions from immediate COVID-19 response to adjusting to new economic realities, use this tool to find real-world D&A use cases that improve operational and financial performance.
• Tool: 6 Ways Data and Analytics Leaders Can Serve Their Organizations During the COVID-19 Crisis
  How can data and analytics leaders serve their organizations during the COVID-19 crisis? This presentation showcases companies that use D&A to cut costs, optimize business processes, spend efficiently on talent, maximize the value generated from existing spending, and accelerate with new.
• Tool: Practical Cost Optimization Techniques for Data and Analytics Leaders Responding to COVID-19
  Data and analytics leaders are well placed to assist their organizations during the COVID-19 pandemic. This compendium provides critical resources and guides to quickly ramp up cost optimization plays with D&A.
• 6 Lenses for Discovering D&A Value Generation Opportunities
  Click here to learn six lenses D&A leaders can use to identify new D&A-based value generation opportunities across their organization. Each lens comes from a real-world practitioner profiled in Gartner research.
• Tool: A Living Library of Real-World Data and Analytics Use Cases
  This spreadsheet contains over 300 real-word D&A use cases. Filter use cases by organization size, industry vertical, and solution type. Updated quarterly.
• Library: Examples of How Data and Analytics is Used Across the Enterprise (Domain Data and Analytics)
  D&A leaders can use this library to learn how their business partners are using data and analytics. The library collects and categorizes over 150 different case studies, tools, templates, and notes from across Gartner research.
• Infographic: Six Traps on the Road from Data to Value
  Gartner research reveals six traps organizations fall into when they try to generate value with data. Avoid them by learning from the case studies referenced here!
• Case Study: Realizing the Promise of Analytics and BI Platforms (Dow)
  If your organization is like most, you have an underused BI platform. Dow's D&A leadership analyzes BI consumption patterns, intervenes strategically, and evangelizes successes. Their approach led to 25% more platform use and a 4-fold gain in revenue.
• Communicating through Data Visualization
  Does your team struggle to get business partners to act on the insights you generate? This research helps D&A teams understand how to use visualizations to better communicate their conclusions.
• Performance Measurement for Data & Analytics Leaders Template (Utah Governor's Office of Management and Budget)
  The C-Suite expects D&A leaders to generate value, but many D&A leaders struggle to quantify the performance of their teams. This downloadable and editable template offers D&A leaders an easily implementable approach to performance measurement that follows Utah GOMB's approach.
• Performance Measurement for Data & Analytics Leaders Tool (Utah Governor's Office of Management and Budget)
  Utah GOMB combines multiple performance indicators into a single, easily understood ratio. D&A leaders can follow Utah GOMB's approach to quantify the performance of their teams. This downloadable presentation explains Utah GOMB's approach and complements the template above.
• 5 Steps to Get Started with Machine Learning
  Eager to get started with ML but afraid it will be too technically difficult, expensive, or time consuming? Click here to learn the 5 steps D&A teams from Micron, Iron Mountain, and Avon used to get started with ML.
• How to Reveal the Business Value of Imperfect Data with AI (Avon)
  Imperfect data is worthless for business intelligence. But it can create business value, if organizations switch from BI to advanced analytics. Find out how Avon did so here.
• Data and Analytics Value Creation: Key Obstacles and How to Overcome Them
  Learn what Chief Data & Analytics Officers polled during the 2019 D&A Summits in London and Orlando believe enables their organizations to create business value with data & analytics.
• Peer-Based Analytics Learning (ABB)
  Frustrated with low analytics use in your organization? Take a lesson from ABB's audit function: they use peer-led case studies to give auditors hands on experience in how analytics can improve audits.
• Machine Learning Literacy for Business Partners (Micron)
  Do you have data scientists mired in dashboard creation? Or do they develop cool products that don't meet business needs? Find out how Micron improves communication between data science teams and business partners with a simple ML literacy course.
• Machine Learning Literacy for Business Partners (Micron) Implementation Tool
  Download Micron's internal ML literacy syllabus here. It includes two case studies business partners can use to experience developing an ML solution on their own.
• Analytics Presentation Engagement Framework (NGA)
  Too often, analysis falls on deaf ears, and excellent insights fail to drive value. See how analytics leaders at the National Geospatial-Intelligence Agency create analytics presentations that motivate business users to action.
• Opt-Out Decision Engineering to Increase Analytics Use
  Business users often have powerful analytics tools available-but they rarely use them. Data and Analytics leaders can use an opt-out technique to shape the behavior of business users by "nudging" them into using of analytic tools.
• Decision-Focused Data Maps (General Mills)
  Do people in your organization spend more time looking for the right data than using it to inform decisions? Find out how General Mills developed an easy-to-understand visual that connects crucial business questions to available data sources.
• Simple, Powerful Machine Learning Pilot (Iron Mountain)
  Do worries about expertise and expense keep your organization from piloting ML projects? Find out how two FTEs in Iron Mountain's A/R team developed a Machine Learning pilot off the side of their desks that decreased time to payment by 40%.
• From Data to Prediction (Iron Mountain): Further Details
  Find out the specific steps Iron Mountain used to develop their Accounts Receivable late payment prediction pilot here.
• How to Build Momentum for Machine Learning (ML) Initiatives (Iron Mountain)
  D&A leaders need to build on their successes with Machine Learning. Find out how Iron Mountain did so here.

Data & Analytics Strategy and Planning

(Back to the Top)

• Case Study: Demand Management for Self-Service Data and Analytics Tools (SureSparkle*):
  SureSparkle* proactively manages the demand for self-service data and analytics tools by targeting high-value users and then building sustainable partnerships with business stakeholders. D&A leaders, learn a new approach to prioritizing and delivering self-service here.
• Data and Analytics Org model Benchmarks: A Survey of D&A Functions:
  How do D&A functions organize themselves? Based on nearly 90 conversations with D&A leaders, Gartner synthesized nine common organization models. These org models reflect the complex reality in which D&A leaders operate and offer D&A leaders a way to benchmark their own organizations.
• Three Case Studies of Data and Analytics-Driven Business Innovation:
  D&A's contribution to business value depends on its innovative application to business problems. Learn how three progressive data and analytics leaders have built innovation into the core activities of their teams to rapidly generate business value.
• Infographic: IT Score for D&A Benchmarks for Transportation:
  Gartner's IT Score for Data & Analytics benchmarks the maturity level and importance of 25 activities across seven objectives that are top of mind for data and analytics leaders worldwide.
• IT Score for D&A Benchmarks for Manufacturing
  Learn how your manufacturing organization compares to your peers' results on Gartner's IT Score for Data & Analytics!
• IT Score for D&A Benchmarks for Banking, Finance, and Insurance
  Learn how your banking, finance, or insurance organization compares to your peers' results on Gartner's IT Score for Data & Analytics!
• IT Score for D&A Benchmarks for Energy and Utilities
  Learn how your energy or utility organization compares to your peers' results on Gartner's IT Score for Data & Analytics!
• IT Score for D&A Benchmarks for Healthcare
  Learn how your healthcare organization compares to your peers' results on Gartner's IT Score for Data & Analytics!
• IT Score for D&A Benchmarks for Government
  Learn how your government organizatio