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
Other Books You May Enjoy
13
Index

Not big data but lots of small data

I am certain that my views in this area are informed and shaped by my early consulting experiences. I was fortunate enough to work with experienced professionals that knew how to acquire, integrate, and analyze a wide range of related but disparate datasets. They never worried about bringing together a couple of databases to create new information and analytics. They saw this activity as quite natural. As a consequence of spending so much time with them and seeing the incredibly powerful and insightful results, I too came to believe that integrating data together was an incredibly valuable activity that provided tools and insights that other people just did not see or even think of.

In the beginning, we would integrate datasets that were obviously related. We would integrate shipments information from the client company systems with the consumption data from grocery stores. Consumption data or scanner data from Nielsen and Information Resources...