Big data and business analytics

Front Cover; Contents; Foreword; Preface; About the Editor; Contributors; 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 Marketing; 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 RecordsChapter 8 - Innovation Patterns and Big Data; Chapter 9 - Big Data at the U.S. Department of Transportation; Chapter 10 - Putting Big Data at the Heart of the Decision-­Making Process; Chapter 11 - Extracting Useful Information from Multivariate Temporal Data; Chapter 12 - Large-­Scale Time-­Series Forecasting; Chapter 13 - Using Big Data and Analytics to Unlock Generosity; Chapter 14 - The Use of Big Data in Healthcare; Chapter 15 - Big Data: Structured and Unstructured; Back Cover.

""The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions to 'do this, avoid that.'""--The Foreword by Joe LaCugna, Ph. D., Enterprise Analytics and Business Intelligence, Starbucks Coffee CompanyWith the growing barrage of ""big data, "" it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That's where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher retu.

"An Auerbach book."