Big data and business analytics

"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."--EBL web site.

Título tomado de la pantalla de presentación (visto 6 de mayo de 2013).

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