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Big Data and Business Analytics


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Table of Contents

Foreword; Joe LaCugna

Architecting the Enterprise via Big Data Analytics; Joseph Betser and David Belanger

Jack and the Big Data Beanstalk: Capitalizing on a Growing Marketing Opportunity; Tim Suther, Bill Burkart, and Jie Cheng

Frontiers of Big Data Business Analytics: Patterns and Cases in Online Marketing; Daqing Zhao

The Intrinsic Value of Data; Omer Trajman

Finding Big Value in Big Data: Unlocking the Power of High-Performance Analytics; Paul Kent, Radhika Kulkarni, and Udo Sglavo

Competitors, Intelligence, and Big Data; G. Scott Erickson and Helen N. Rothberg

Saving Lives with Big Data: Unlocking the Hidden Potential in Electronic Health Records; Juergen Klenk, Yugal Sharma, and Jeni Fan

Innovation Patterns and Big Data; Daniel Conway and Diego Klabjan

Big Data at the U.S. Department of Transportation; Daniel Pitton

Putting Big Data at the Heart of the Decision-Making Process; Ian Thomas

Extracting Useful Information from Multivariate Temporal Data; Artur Dubrawski

Large-Scale Time-Series Forecasting; Murray Stokely, Farzan Rohani, and Eric Tassone

Using Big Data and Analytics to Unlock Generosity; Mike Bugembe

The Use of Big Data in Healthcare; Katherine Marconi, Matt Dobra, and Charles Thompson

Big Data: Structured and Unstructured; Arun Majumdar and John Sowa


About the Author

Dr. Jay Liebowitz is the Orkand Endowed Chair of Management and Technology, the only endowed chair at the University of Maryland University College. He previously served as a full professor in the Carey Business School at Johns Hopkins University. He was ranked one of the top 10 knowledge management (KM) researchers/practitioners out of 11,000 worldwide and was ranked number two worldwide in KM strategy according to the January 2010 Journal of Knowledge Management. He is a prolific author, Fulbright Scholar, Computer Educator of the Year (IACIS), IEEE Executive Fellow, and the founder and editor-in-chief of Expert Systems with Applications: An International Journal. His most recent books are: Knowledge Management Handbook: Collaboration and Social Networking, Second Edition Beyond Knowledge Management: What Every Leader Should Know Knowledge Management in Public Health Knowledge Management and E-Learning Knowledge Retention: Strategies and Solutions


"The promise and potential of big data and smart analysis are realized in better decisions and stronger business results. But good ideas rarely implement themselves, and often the heavy hand of history means that bad practices and outdated processes tend to persist. Even in organizations that pride themselves on having a vibrant marketplace of ideas, converting data and insights into better business outcomes is a pressing and strategic challenge for senior executives. ... The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions to 'do this, avoid that.'"
-From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee Company

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