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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

Operationalizing Analytics – How to Move from Projects to Production

No revolution ever happened with the support of the establishment.

—Jennifer H. Woulfe

Advanced analytics and AI projects and efforts can become exceptionally long term and conceptual if not designed, directed, and managed appropriately. I have always had a very pragmatic and practical view of working with data and analytics. Managers and end users are typically impatient when seeking numbers and indications of performance or improvements; it helps to keep their impatience in mind when executing analytics projects.

In this chapter, we will examine the process of moving from a program orientation or a project focus to a production focus. This is where we are moving the results or findings from models, applications, and analytical work products into production systems. This move sounds quite clear cut and simple when described in this manner, but there are several considerations...

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