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Building Analytics Teams

Building Analytics Teams

By : John K. Thompson
4.8 (41)
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Building Analytics Teams

Building Analytics Teams

4.8 (41)
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)
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Index

Ensuring Engagement with Business Professionals

Everyone has a plan until they get punched in the face.

—Mike Tyson

We have discussed engaging with and convincing executives that there is value in data and analytics. Now, let's turn our attention to the managerial levels of the organization below the C-Suite and above the front-line workers.

We are now interested in exploring and understanding all levels of management from senior management to front-line managers. In most organizations, these are the levels where work can be immediately stopped, delayed indefinitely, or approved and moved forward.

In this chapter, we will examine the most common causes of analytics not being developed or adopted. We will look at the variety of areas in which you will need to be armed with knowledge and expertise, to convince your functional stakeholders that these roadblocks need to be overcome. This will help them realize the potential and value of analytics...

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