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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

The implications of proprietary versus open source tools

Over the past 20 years, there has been a significant change in technology that enables teams and individuals to design, develop, and deploy analytical applications. The change has been in the evolution and refinement of open source software and related platforms.

20 years ago, there were only proprietary software offerings from SAS, SPSS, Statistica, Minitab, and others. An entire generation, or possibly two generations, of psychologists, social scientists, mathematicians, and analysts grew up using these software systems in undergraduate- and graduate-level academic programs. When entering the business, research, and governmental workforces, those people brought their favorite tools with them.

More recently, open source systems like Knime, RapidMiner, and others offer community versions for free. In addition to the many open source tools and community versions available, the rise and evolution of the R and Python languages...

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