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.
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: 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: 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.
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.
Communicating through DataVisualization
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.
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.
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.
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%.
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.