Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics
Language: English
Published by Data Science Publishing, 2016
- Softcover
- Used

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- Title
- Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics
- Author
- Deal, Jeff
- Publisher
- Data Science Publishing
- Publication year
- 2016
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0996712100
- ISBN 13
- 9780996712101
Data Mining and Predictive Analytics -
21st Century's Most Powerful New Management Tools
In this practical guide for organizational leaders and top-level executives, industry experts Jeff Deal and Gerhard Pilcher explain in clear, understandable English...
- What data mining and predictive analytics are
- Why they are such powerful management tools
- How and when to use them for greatest positive
impact across a broad spectrum of industries
Complete with solid advice and instructive case histories, it demonstrates how to harness the power of data mining and predictive analytics, while avoiding costly mistakes.
Use it to gain a quick overview of the subject and as a handy resource to be referred to again and again.
If you're preparing to lead or participate in a data analytics initiative, this is the one book you must read!
Receiving early, strong praise from business government leaders who are using these powerful management tools to achieve dramatic goals for projects and their organizations.
"Synopsis" may belong to another edition of this title.
About the Author
Gerhard Pilcher, Chief Executive Officer for Elder Research, is responsible for the firm's northern Virginia office. He has more than thirty years of industry and consulting experience with commercial businesses and government institutions in the United States and abroad. His specialties include fraud detection, financial risk management, and healthcare outcomes. Mr. Pilcher earned a Master of Science degree in analytics from the Institute for Advanced Analytics at North Carolina State University in Raleigh, North Carolina. He is an adjunct faculty member in the math and statistics masters degree program at Georgetown University, and a regular instructor at the SAS Business Knowledge Series course, "Data Mining: Principles and Best Practices." Gerhard currently serves on the advisory boards of the Institute for Advanced Analytics and the Masters in Science in Business Analytics program at George Washington University. Gerhard and his wife, Denise, have two children. In his spare time, he especially enjoys outdoor activities, including mountaineering and trail running.
"About the title" may belong to another edition of this title.
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