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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

Focusing on self-renewing processes, not projects – an example

Perhaps a concrete example can ground our discussion to make it clearer and more understandable where we stand in the overall process and the pitfalls that face the combined analytical and functional teams.

Let's use the example of retail store site selection. Before the widespread use of data and analytics, organizations had site selection teams that performed research on the proposed region, markets, and neighborhoods; visited prospective locations; scouted sites; and spent time talking with local business people, local governing bodies, landlords, real estate agents, brokers, and others. They compiled briefing books on the various options and made presentations to management regarding their process and the locations that the site selection team felt were the best bets. This process could take weeks to months to possibly years.

Why is this traditional process not optimal and why does this type of...

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