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

What this book covers

Chapter 1, An Overview of Successful and High-Performing Analytics Teams, sets the stage and describes the fundamental organization and principles involved in building and managing an analytics team.

Chapter 2, Building an Analytics Team, discusses and describes who to hire, how to construct and manage a team, and the building blocks of beginning analytic operations.

Chapter 3, Managing and Growing an Analytics Team, begins the discussion of engagement with other parts of the organization. The chapter delves into engaging functional managers, creating internal interest and beginning the cadence of building analytical applications.

Chapter 4, Leadership for Analytics Teams, outlines how to lead an analytics team and how to represent analytics leadership to the organization.

Chapter 5, Managing Executive Expectations, provides an overview of and guidance on how to engage with C-level executives to gain their support, buy-in, and funding for analytics teams, projects, and a corporate wide analytics engagement and process.

Chapter 6, Ensuring Engagement with Business Professionals, describes the best way to engage with functional business leaders and managers to gain their support and to ensure that they guide their teams to engage in the analytics process.

Chapter 7, Selecting Winning Projects, outlines the process of selecting projects and the optimal method of building a portfolio of projects for each team member and the team as a whole.

Chapter 8, Operationalizing Analytics – How to Move from Projects to Production, outlines the pitfalls and problems associated with moving from a project mode into a production cycle. The chapter describes how to move through and past the challenges in a successful manner.

Chapter 9, Managing the New Analytical Ecosystem, discusses how to manage the organization and the analytics team in a manner that enables the team to continue to innovate while supporting the growing body of analytical applications and models that are built and deployed.

Chapter 10, The Future of Analytics – What Will We See Next?, outlines what we can expect to see in analytics in the coming years.