Research

Inquiry Response: Are We Working the Right Business Problems?

By IIA Expert, Apr 09, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We have our data lake in order so that we can perform more forward-looking analytics to drive business value. Now we’re struggling with how to start and what to prioritize first—any ideas?

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Is this your year to invest in big data?

By Geoffrey Moore, Apr 05, 2018

Everybody is talking about it. Mine your data for insights. Use your digital exhaust to feed machine learning programs to develop algorithms that will transform your productivity. Amazon does it. Google does it. Microsoft does it. All three offer cloud services to help you get started. Shouldn’t you be doing it too?

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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.”

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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.”

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Since 2000, over 50 percent of Fortune 500 companies have been acquired, merged or declared bankruptcy. Any company that cannot or will not transform itself into a digital enterprise faces an existential threat to its existence. To compete as a digital enterprise requires starting at the top with the CEO and Board agreeing on the right digital strategy for the company and a game plan to implement it.

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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.”

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Data Science Innovation

By Bernie Smith, Feb 22, 2018

An unprecedented change is taking place with businesses facing a perfect storm of technologies (Artificial Intelligence, Internet of Things, Blockchain, behavioural / predictive techniques and digital applications), causing disruption to companies, employees and communities. The commercial and operational organisational cards seem stacked against bold innovation and change, but they don’t have to be. Five focused steps outlined in this blog can lead to a dramatic change.

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Inquiry Response: Using Social Media to Inform Customer Segmentation

By IIA Expert, Feb 19, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We’re keen to understand the needs and attitudes of our clients so we can better tailor our communications and suggest additional services. How have others used third-party data to better understand their customers?

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Operationalizing Analytics for Intelligent Fraud Detection and Case Management

By Michael Ames, Robert Morison, Jan 31, 2018

Available to Research & Advisory Network Clients Only

Fraud is widespread and continues to grow, especially online. It’s a major problem in a variety of industries and government agencies far beyond the familiar areas of financial and retail fraud, where credit card information is compromised and fraudsters use it for online purchases. The problem worsens as criminals get more organized and technologically sophisticated and operate at greater scale. As fraudsters innovate and scale up, fraud prevention and investigation become more challenging, and advanced analytics become a bigger part of the solution.

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Inquiry Response: Managing Tableau Implementation

By IIA Expert, Jan 22, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

Our enterprise analytics team is being urged to use Tableau for reporting and visualizations rather than our current tool, Cognos. We’re looking for insights on implementation of Tableau for the enterprise.

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