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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

Enabling understanding

We, as analytics professionals, often know what needs to be done, but the analytics team either does not want to do the work, because they have plenty of other work to do, or they think that the results are obvious and the further decomposition is not needed to understand the deeper dynamics and the driving forces underlying the high-level results. In the majority of cases, the data scientists rationalize their reasons for not wanting to undertake the further decomposition work because they can already see and understand the dynamics without the further effort, but the business users – the sponsor, who has to explain the project, value, and the need for change to the executives, and the subject matter experts who have to support the sponsor and also implement the required changes – do not understand the core dynamics at a level where they can change the operations in a meaningful way that maximizes value realization for the business as a whole...

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