Here is a list of our publications to date. Watch this space for updates every month as we release more publications.
Our research terrain covers:
- Business Value of Data & Analytics
- Data & Analytics Strategy and Planning
- Data & Analytics Quality and Ethics
- Data & Analytics Talent
Machine Learning Literacy for Business Partners
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.
- IT Score for Data and Analytics
Uncertain how to get started in D&A? Use Gartner’s IT Score for Data & Analytics to measure D&A maturity across seven objectives and 25 discrete functional activities!
- Ignition Guide to Strategic Planning for Data & Analytics
As a Data & Analytics leader, how do you develop a world class D&A strategy? Tap into the collective wisdom of hundreds of D&A leaders. Here is Gartner’s step-by-step guide, with tools and templates, to help you establish an actionable Data & Analytics strategy.
- Analytics Prioritization Principles (Gap Inc.)
How can Data and Analytics leaders sense, prioritize, and satisfy the critical data and analytics needs of their business users? Gap Inc. provides a model for engaging with business users to determine their data needs and priorities and develop the analytics they need.
- Data & Analytics Strategy Workbook
D&A leaders often struggle to navigate the complexities of the strategic planning process. This workbook outlines the steps involved and provides hands-on tools and templates to create a strategic plan document.
- Data & Analytics Strategy Presentation Template
This template provides D&A leaders with customizable recommended and optional slides to craft an effective D&A strategy presentation.
- Data & Analytics Sample Strategy Presentation
This sample strategy presentation is an illustrative example of how to tie D&A strategy to business strategy and improve organizational decision making through analytics investments.
- Planet Architecture: The Role of Data in Platform Strategy (A Conversation with Ian Reynolds and Jitendra Subramanyam)
Data is crucial to building the business case for new technology platforms. This episode explores how EAs and D&A leaders can maximize the business value of a platform strategy by effectively using available enterprise data.
- Ignition Guide to Building a Data and Analytics Governance Program
Don’t assume that traditional data governance will meet the demands of big data and digitization! Use this guide to establish a governance program that aligns with business priorities and divides strategic and tactical responsibilities.
- Data Quality Score (TE Connectivity)
Does your organization struggle to get buy-in for data quality improvements from your business users? Find out how TE Connectivity used an enterprise-public data quality score to hold business users accountable for data quality.
- Dangerous Data: Can’t Live Without It, Can’t Live With It
Many D&A leaders think data is good and more data is better. But some data can pose serious legal, ethical, and brand risks to organizations. Find out why here.
- “Show Don’t Tell” Data Quality Improvement (Citizens Bank)
Business users often struggle to see the relevance of data quality to their work. Citizens Bank creates business demand for increased data quality by contrasting the insights and reports that could be generated from higher quality data to the current state.
- Data & Analytics Operational, Data Quality, and Data Management Metrics
How do Data and Analytics leaders measure success? Find out here: our collection of real-world metrics spanning operations, business value, data quality, and data management maturity.
- D&A Organizational Models, Roles, and Responsibilities
How do Data and Analytics leaders organize their function? What roles should a data and analytics office have? This deck collects practitioner examples of organizational, staffing, and stewardship models and analytics roles.
- Analytics Champions Recruitment Guide
Learn how companies identify internal evangelists for analytics and use them to increase analytics demand across the enterprise.
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