Book Image

Building Analytics Teams

By : John K. Thompson
5 (1)
Book Image

Building Analytics Teams

5 (1)
By: John K. Thompson

Overview of this book

In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success. The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs. The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects. By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization.
Table of Contents (14 chapters)
12
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13
Index

Value realization

I have seen a wide range of reactions from organizations as their own advanced analytics teams have developed and delivered new findings and insights that illustrate the path to positive change in their operations.

A few years ago, I was talking with the manager of an advanced analytics team at one of the leading manufacturers of athletic clothing. The situation that was described was not surprising to me. The analytics team worked on projects for all functions of the company, but most of the projects that the advanced analytics team undertook were focused on marketing and sales. If the project findings supported what the sales and marketing leader believed and had planned to do, the results were embraced and used in building the case or executing the plan. If the analytical findings indicated that there was a better way to execute the plan, then the results were ignored, and the plan was executed as the sales and marketing leader intended. This happens on a...