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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

Organizational context and consideration

One of the primary considerations to keep in mind is that the context in which the advanced analytics and AI team operates is different than operational teams. Operational and functional teams, like finance and manufacturing, work in their defined domains and rarely deviate from their cyclical processes. Analytics teams work across the entire organization, interfacing with all levels of the company with a focus on discovery and innovation.

The interface between the advanced analytics and AI team and the other groups and teams is one that needs and deserves more attention than it currently receives. The advanced analytics and AI team is focused on disruption, creativity, and innovation. This is an activity that is marked by success and discovery, followed by setbacks and retrenchment. Functional areas are characterized by smooth, predictable process flows, and well-established processes that move forward along an established path at an established...

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