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

Summary

As noted at the beginning of this chapter, moving from a project or program perspective to production operations is a critical juncture and transition in every analytics effort. This transition is the point in the analytics process where the majority of projects fail. This level of failure is surprising and disappointing to me personally. I have been vexed by this hurdle and have spent years looking for ways to increase the rate at which analytics projects become successful business projects through skillful navigation of this transition with our functional managers and subject matter expert collaborators.

Analytics professionals need to grasp the importance of successfully completing this transition. This transition is critical to achieving value realization. We, as analytics professionals, need to be aware that our projects, beyond finding interesting insights and information, only deliver value if the models are moved into production and help drive improvements in operations...