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Strategy & Thought Leadership

Organizing Analytics and Data Science Organizations Part 2

Formally and intentionally organizing your analytics teams is an integral part of any organization's analytics journey. Additionally, planning out how your company should eventually re-organize its analytics teams is also…

Analytics and AI Strategy Guide

Unfortunately, even in 2023, we're still seeing analytics leaders struggle to deliver measurable returns on analytics investments. To deliver value on your analytics and AI efforts, D&A leaders must start…

Organizing Analytics and Data Science Organizations Part 1

Formally and intentionally organizing your analytics teams is an integral part of any organization's analytics journey. Additionally, planning out how your company should eventually re-organize its analytics teams is also…

Developing a Product Orientation for Analytics and AI

There is one primary reason why organizations need to adopt a product focus for analytics and AI: models simply don’t get implemented often enough. Data scientists often focus on model…

2023 Analytics Predictions and Priorities

Data and analytics continue to be integral to the success of today's businesses. As we look ahead to 2023, it's important to consider what your data and analytics teams should…

Revisiting Common Obstacles to Analytics Success

What are the common hurdles encountered when putting analytics to work in a business, both in developing analytical models and applications and in building enterprise analytical capability? This question is…

Constructing an Analytics Capability Roadmap

If you are trying to shift the balance of your work beyond descriptive analytics to more advanced predictive, prescriptive projects, you likely need to explicitly map out your analytics capabilities…

Segmenting Your Analytics Demand

Every organization has an information economy with a supply side that provides data and tooling to analysts and a demand side that consumes data and analyses to make decisions. Advanced…