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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

Collaborators in the analytics journey

Let's define the taxonomy and naming of the collaborators that we will discuss and describe in the book and work with on our analytics journey. I will be referring to executives as sponsors, because they typically set the direction and control funding and staffing for their organization.

Also, I will be referring to managers as stakeholders, as they typically own the headcount that is needed to collaborate with the AA&AI COE staff. And finally, I will be referring to the staff members of the operational departments as subject matter experts. The AA&AI COE leadership, data scientists, data engineers, data visualization experts, and others cannot be successful without the full-throated support of sponsors, stakeholders, and subject matter experts. A transparent and trust-based relationship between all parties is crucial to our joint success.

I have explained in keynote speeches, fireside chats, articles, white papers, meetings...

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