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Building Analytics Teams

You're reading from   Building Analytics Teams Harnessing analytics and artificial intelligence for business improvement

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781800203167
Length 394 pages
Edition 1st Edition
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Author (1):
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John K. Thompson John K. Thompson
Author Profile Icon John K. Thompson
John K. Thompson
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Table of Contents (14) Chapters Close

Preface 1. Introduction 2. An Overview of Successful and High-Performing Analytics Teams FREE CHAPTER 3. Building an Analytics Team 4. Managing and Growing an Analytics Team 5. Leadership for Analytics Teams 6. Managing Executive Expectations 7. Ensuring Engagement with Business Professionals 8. Selecting Winning Projects 9. Operationalizing Analytics – How to Move from Projects to Production 10. Managing the New Analytical Ecosystem 11. The Future of Analytics – What Will We See Next? 12. Other Books You May Enjoy
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.

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