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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

Guidance to end users

When I refer to end users, this is an umbrella term that refers to all people who utilize the analytical models and applications that the analytics team builds and deploys. I am including executives, senior managers, functional managers, subject matter experts, and casual users in this category.

End users tend to overthink how an analytical application might be able to help them and their operational teams. Executives and senior managers will self-edit and cull ideas that could be very useful and valuable in how the analytics team thinks about and approaches solving an analytical challenge.

My guidance to end users is this: if you have an idea for how data and analytics can help you and your team, call me or e-mail me immediately. Don't design the solution, don't agonize about the profusion of data or the lack of data, don't think about the budget implications or how long it might take to build the analytical application – just call...

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