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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

Analytical and production cycles and systems – initial projects

In the cases where the analytics team is simply looking to improve a well-known process (that is, a non-discovery oriented improvement process), the analytics team should be able to give the functional team, sponsors, and interested executives a fairly reliable estimate of when the analytics process will start and produce the desired model, application, or result. In the first iteration of approaching a business challenge, we should have a reasonably accurate sense of how long the complete analytical project and cycle will take.

Figure 8.3: The analytics cycle

In contrast, as we discussed above, discovery-oriented processes are different and will take more time, and it is notoriously difficult to estimate and predict when the discovery will be unearthed.

Also, as we discussed in the finance scenario outlined above, we need to be clear with our collaborators from functional teams that their deadlines...

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