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

Change management

An aspect of analytics that is routinely ignored or overlooked is the leveraging of results or insights to deliver an improvement in operations either as a one-time modification to a process or as a permanent change on a continual basis. Implied in any process of improvement is change. One of the hardest things for people to understand, plan for, internalize, accept, and benefit from, is change.

Change of all types presents challenges for managers and for staff members. Leaving the realization that change is a required element of a complete and successful analytics project as an implied aspect of the project rather than making it an explicit agreement within the project framework leaves open the possibility for a significant mismatch in expectations between the analytics team and the functional team. All teams that need to be involved in implementing the many incremental changes required to realize the value of the overall analytics project need to be explicitly...