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

Personal project portfolio

Junior data scientists will likely come from the intern and co-op participant pool. Hiring people for full-time roles who have spent time with the analytics team and have been exposed to the broader organization is a much better way to hire full-time staff as compared to the traditional hiring process, especially in such a heated and frothy market as the data science market is today and looks to be in the foreseeable future.

If junior staff members do come from the intern and co-op participant ranks, then you understand their hard and soft skills and you know what they can and cannot do well. You, and they, understand the team dynamics and type of work and the cadence that is expected from them and the team. The ramp-up time to productivity is shorter and less time-consuming.

Junior members of the advanced analytics and AI team should be expected to undertake one main project and one or two service requests, to engage with the Community of Practice...