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.'""--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 experien

Ch. 1. Architecting the enterprise via big data analytics / Joseph Betser and David Belanger -- ch. 2. Jack and the big data beanstalk : capitalizing on a growing marketing opportunity / Tim Suther, Bill Burkart, and Jie Cheng -- ch. 3. Frontiers of big data business analytics : patterns and cases in online marketing / Daqing Zhao -- ch. 4. The intrinsic value of data / Omer Trajman -- ch. 5. Finding big value in big data : unlocking the power of high-performance analytics / Paul Kent, Radhika Kulkarni, and Udo Sglavo -- ch. 6. Competitors, intelligence, and big data / G. Scott Erickson and Helen N. Rothberg -- ch. 7. Saving lives with big data : unlocking the hidden potential in electronic health records / Juergen Klenk, Yugal Sharma, and Jeni Fan -- ch. 8. Innovation patterns and big data / Daniel Conway and Diego Klabjan -- ch. 9. Big data at the U.S. Department of Transportation / Daniel Pitton -- ch. 10. Putting big data at the heart of the decision-making process / Ian Thomas -- ch. 11. Extracting useful information from multivariate temporal data / Artur Dubrawski -- ch. 12. Large-scale time-series forecasting / Murray Stokely, Farzan Rohani, and Eric Tassone -- ch. 13. Usi…