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New book: Big Data, Mining, and Analytics: Components of Strategic Decision Making


This book ties together big data, data mining, and analytics to explain how readers can leverage them to extract valuable insights from their data.



Big Data, Mining, and Analytics by Stephan KudybaBig Data, Mining, and Analytics: Components of Strategic Decision Making

By Stephan Kudyba

Hardcover: 325 pages
Publisher: Auerbach Publications (March 24, 2014)
ISBN-10: 1466568704

Illustrating basic approaches of business intelligence to the more complex methods of data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining.

  • Includes a foreword by Thomas H. Davenport, Distinguished Professor, Babson College; Fellow, MIT Center for Digital Business; and Co-Founder, International Institute for Analytics
  • Introduces text mining and the transforming of unstructured data into useful information
  • Examines real time wireless medical data acquisition for today’s healthcare and data mining challenges
  • Presents the contributions of big data experts from academia and industry, including SAS
  • Highlights the most exciting emerging technologies for big data—Hadoop is just the beginning


The road to the Big Data Emerald City is paved with many potholes. Reading this book can help you avoid many of them, and avoid surprise when your trip is still a bit bumpy.
—From the Foreword by Thomas H. Davenport, Distinguished Professor, Babson College; Fellow, MIT Center for Digital Business; and Co-Founder, International Institute for Analytics

About the Author

Dr. Stephan Kudyba has developed computerized models for trading financial markets in the investment banking industry and has provided Business Intelligence based solutions involving data mining applications for organizations across industry sectors. He is a professor in the school of management at New Jersey Institute of Technology where he teaches business courses addressing data, information and knowledge management, market research and internet marketing.