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Building Analytics Teams

You're reading from  Building Analytics Teams

Product type Book
Published in Jun 2020
Publisher Packt
ISBN-13 9781800203167
Pages 394 pages
Edition 1st Edition
Languages
Author (1):
John K. Thompson John K. Thompson
Profile icon John K. Thompson

Table of Contents (14) Chapters

Preface 1. Introduction 2. An Overview of Successful and High-Performing Analytics Teams 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

Data or algorithms – the knee of the curve or the inflection point

We have reached, and passed, an inflection point in our engagement with data and analytics.

We have heard the arguments that algorithms and math are the seat or source of competitive advantage. We have been told that if you are smart, innovative, and own your own algorithm(s) or approach, then you have mastery over all your competitors and the road to success is nearly assured.

Also, we have heard, sometimes from the same experts who asserted the previous point, that the pathway to all success in analytics is through the ownership, control, management, and proactive use of data—large amounts of typically fast-moving data.

Why are we discussing data and algorithms now, as part of a chapter on organizational engagement? The topic is salient and relevant at this juncture in our discussion. I have had to refute the argument from functional managers numerous times, and I expect that you will as...

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