Big Data and Business Analytics

“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

With 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 returns on equity. Big Data and Business Analytics helps you quickly grasp the trends and techniques of big data and business analytics to make your organization more competitive.

Packed with case studies, this book assembles insights from some of the leading experts and organizations worldwide. Spanning industry, government, not-for-profit organizations, and academia, they share valuable perspectives on big data domains such as cybersecurity, marketing, emergency management, healthcare, finance, and transportation.

• Understand the trends, potential, and challenges associated with big data and business analytics
• Get an overview of machine learning, advanced statistical techniques, and other predictive analytics that can help you solve big data issues
• Learn from VPs of Big Data/Insights & Analytics via case studies of Fortune 100 companies, government agencies, universities, and not-for-profits

Big data problems are complex. This book shows you how to go from being data-rich to insight-rich, improving your decision making and creating competitive advantage.

Author Jay Liebowitz recently had an article published in The World Financial Review.

www.worldfinancialreview.com/?p=1904

Table of Contents

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 Records
Chapter 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