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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

Summary

As noted at the beginning of this chapter, moving from a project or program perspective to production operations is a critical juncture and transition in every analytics effort. This transition is the point in the analytics process where the majority of projects fail. This level of failure is surprising and disappointing to me personally. I have been vexed by this hurdle and have spent years looking for ways to increase the rate at which analytics projects become successful business projects through skillful navigation of this transition with our functional managers and subject matter expert collaborators.

Analytics professionals need to grasp the importance of successfully completing this transition. This transition is critical to achieving value realization. We, as analytics professionals, need to be aware that our projects, beyond finding interesting insights and information, only deliver value if the models are moved into production and help drive improvements in operations...

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