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

The front end of the talent pipeline

Interns and co-op participants are a viable and valuable way to grow your advanced analytics and AI team. One aspect of internship and co-op programs that I feel strongly about is that you need to pay participants. Pay them the fair or market rate for top talent relative to their tenure and experience, which admittedly is almost non-existent at this point in their careers, but it is hoped and expected that the people being brought into internship and co-op programs hold great promise as the next generation of new staff members on your analytics team, correct? The trend over the past few years for unpaid internships is a ridiculous approach to what should be a relatively serious element of the talent acquisition process. If you are going to request or expect that someone undertakes productive and valuable work, why would you not pay them? And if the "work" you are asking them to do is meaningless, why would you bother?

If you can afford...