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Big Data and Business Analytics

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Title: Big Data and Business Analytics
Author: Jay Liebowitz
ISBN: 1466565780 / 9781466565784
Format: Hard Cover
Pages: 304
Publisher: Auerbach
Year: 2013
Availability: Out of Stock
Special Indian Edition.
     
 
  • Description
  • Contents

Industry reports indicate that by 2018, there will be a shortage of up to 180,000 analysts in the U.S. for examining "big data" problems. At the same time, emerging academic research shows that organizations who use business analytics to guide their decision making are more productive and experience higher returns on equity than their competitors who don’t. Thus, big data problems and business analytics will be areas of growing interest in the years ahead, especially for addressing organizational, national, and societal issues.

Big Data and Business Analytics consists of case studies in "big data" domains including cybersecurity, finance, emergency management, healthcare, and international development. It is an easy-read for CEOs and senior managers who need to quickly grasp the key factors and trends to make their organizations more competitive. Business, management, and technology educators will also find this book to be helpful in their courses. The book contains case studies from Fortune 100 companies and U.S. Government agencies.

Foreword

Chapter 1 : Architecting the Enterprise via Big Data Analytics
Chapter 2 : Jack and the Big Data Beanstalk : Capitalizing on a Growing Marketing Opportunity
Chapter 3 : Frontiers of Big Data Business Analytics : Patterns and Cases in Online Marketin
Chapter 4 : The Intrinsic Value of Data
Chapter 5 : Finding Big Value in Big Data : Unlocking the Power of High-Performance Analytics
Chapter 6 : Competitors, Intelligence, and Big Data
Chapter 7 : Saving Lives with Big Data : Unlocking the Hidden Potential in Electronic Health Records
Chapter 8 : Innovation Patterns and Big Data
Chapter 9 : Big Data at the U.S. Department of Transportation
Chapter 10 : Putting Big Data and the Heart of the Decision-Making Process
Chapter 11 : Extracting Useful Information from Multivariate Temporal Data
Chapter 12 : Large-Scale Timeseries Forecasting
Chapter 13 : Using Big Data and Analytics to Unlock Generosity
Chapter 14 : The Use of Big Data in Health Care
Chapter 15 : Big Data : Structured and Unstructured

Index

 
 
 
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