Research

Enterprise AI Primer: Build on Your Strengths

By Thomas H. Davenport, Kris Hammond, Apr 16, 2018

Available to Research & Advisory Network Clients Only

This brief is based on the premise that there’s a general confusion when it comes to AI impact, strategy, investment options, and even terminology. A significant factor is that for many companies, AI can and should be viewed as a natural progression of their existing business analytics capabilities. We believe that positioning AI as a natural evolutionary outgrowth of analytics, thus benefitting from already established analytics capabilities, provides the best and easiest path for most companies to successfully “step into” AI.

Read More »

Inquiry Response: Planning for Data Governance

By Gregory Nelson, Mar 26, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We’re implementing a data governance program to support our larger analytics capabilities. What are some of the first steps to start building a data governance strategy? What “gotchas” should we keep an eye out for along the way?

Read More »

Analytics Maturity Transition Guide: Stage 3 to Stage 4

By Robert Morison, Mar 14, 2018

Available to Research & Advisory Network Clients Only

Advancing the analytical maturity of an enterprise requires coordinated progress across a variety of capabilities. We track enterprise maturity with a 5-stage model, and we group capabilities into the five elements of the DELTA framework – Data, Enterprise, Leadership, Targets, and Analysts. These two models, introduced in Competing on Analytics and Analytics at Work, continue to stand the test of time. This guide focuses on the core DELTA components and presents context and recommendations for moving from maturity Stage 3, “Analytical Aspirations,” to Stage 4, “Analytical Companies.”

Read More »

Analytics Maturity Transition Guide: Stage 2 to Stage 3

By Robert Morison, Mar 07, 2018

Available to Research & Advisory Network Clients Only

Advancing the analytical maturity of an enterprise requires coordinated progress across a variety of capabilities. We track enterprise maturity with a 5-stage model, and we group capabilities into the five elements of the DELTA framework – Data, Enterprise, Leadership, Targets, and Analysts. These two models, introduced in Competing on Analytics and Analytics at Work, continue to stand the test of time. This guide focuses on the core DELTA components and presents context and recommendations for moving from maturity Stage 2, “Localized Analytics,” to Stage 3, “Analytical Aspirations.”

Read More »

Analytics Maturity Transition Guide: Stage 1 to Stage 2

By Robert Morison, Feb 28, 2018

Available to Research & Advisory Network Clients Only

Advancing the analytical maturity of an enterprise requires coordinated progress across a variety of capabilities. We track enterprise maturity with a 5-stage model, and we group capabilities into the five elements of the DELTA framework – Data, Enterprise, Leadership, Targets, and Analysts. These two models, introduced in Competing on Analytics and Analytics at Work, continue to stand the test of time. This guide focuses on the core DELTA components and presents context and recommendations for moving from maturity Stage 1, “Analytically Impaired,” to Stage 2, “Localized Analytics.”

Read More »

Inquiry Response: How to Think About Cleaning Up Enterprise Data

By IIA Expert, Feb 12, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

My team is tasked with guiding data cleanup as part of our data governance efforts. Is there an efficient way to discover where the problem areas are in the enterprise data sources? What should we consider as we think about solutions?

Read More »

Inquiry Response: Developing Governance Models for Mature Analytics Organizations

By IIA Expert, Feb 05, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We have a mature analytics organization with over a thousand models in production. At this point we know we need a more rigorous governance model than we currently have. Can we speak with someone who can help us think this through?

Read More »

Inquiry Response: With New Technology, Focus on your Business Needs and Goals

By Mic Farris, Jan 29, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We want to lead our company into new analytics frontiers. How do we know what technology we to be looking at next?

Read More »

Inquiry Response: Marketing Analytics Capabilities Internally

By Jenny Moede, Jan 15, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We have a hub-and-spoke analytics model with analysts in different divisions. My team is tasked with increasing the maturity/value of the analytics being used across the Enterprise. How can we market ourselves so the analysts across the enterprise understand the full breadth of what our team can do?

Read More »

Inquiry Response: Thoughts on Governance for Successful Enterprise Analytics

By IIA Expert, Dec 18, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

We are becoming more data-centric at an organizational level, but do not have a governance process in place. In our highly regulated industry, how might we approach this? What should we be thinking about?

Read More »