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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

Technical or organizational factors

For the remainder of this chapter, we will examine and discuss the factors that play into selecting winning projects. Our discussion will center on two areas of important factors – technical and organizational. We will address the technical factors first and then move on to the organizational factors.

Data – does it exist, and can you use it?

As we have discussed, we are data scientists and analytics professionals, not alchemists.

If there is no data that directly or even indirectly describes the operational aspect of the company or behavior of the entities – people, processes, products, machines, etc. – that we are to examine and analyze at least once, then the advanced analytics team cannot assist in the improvement of that process, operation, or area.

All analytics professionals experience this situation regularly: the discovery of the lack of data is often accompanied by a sense of surprise, and possibly...

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