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

Operationalizing Analytics – How to Move from Projects to Production

No revolution ever happened with the support of the establishment.

—Jennifer H. Woulfe

Advanced analytics and AI projects and efforts can become exceptionally long term and conceptual if not designed, directed, and managed appropriately. I have always had a very pragmatic and practical view of working with data and analytics. Managers and end users are typically impatient when seeking numbers and indications of performance or improvements; it helps to keep their impatience in mind when executing analytics projects.

In this chapter, we will examine the process of moving from a program orientation or a project focus to a production focus. This is where we are moving the results or findings from models, applications, and analytical work products into production systems. This move sounds quite clear cut and simple when described in this manner, but there are several considerations...