Title Statements
- Full title :Big data and business analytics / edited by Jay Liebowitz ; foreword by Joe LaCugna.
Edition Statements
- Publication Date:2013.
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton, Fla
- Language:eng
- Publication Date:2013.
Notes
"An Auerbach book."
The Physical Object
- Description:1 online resource (xxi, 282 p.) : : illustrations
Edition Identifiers
- ISBN:9781466565791, 1466565799
- oclc:ocn940532084
Table of Contents
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…
Read More ↓Subjects
Writers
No reviews yet. Be the first to rate this work.
Rate & Review