| Record ID | marc_columbia/Columbia-extract-20221130-032.mrc:134608096:5775 |
| Source | marc_columbia |
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245 00 $aBig data and business analytics /$ceditor, Jay Liebowitz.
260 $aBoca Raton, FL :$bCRC Press,$c2013.
264 4 $c©2013
300 $a1 online resource (xxi, 268 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references and index.
588 0 $aPrint version record.
505 0 $aCh. 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. Using big data and analytics to unlock generosity / Mike Bugembe -- ch. 14. The use of bid data in healthcare / Katherine Marconi, Matt Dobra, and Charles Thompson -- ch. 15. Big data : structured and unstructured / Arun K. Majumdar and John F. Sowa.
520 $a""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
546 $aEnglish.
650 0 $aBusiness intelligence.
650 0 $aBusiness planning.
650 0 $aDecision making$xStatistical methods.
650 0 $aData mining.
650 0 $aManagement$xStatistical methods.
650 2 $aData Mining
650 6 $aPrise de décision$xMéthodes statistiques.
650 6 $aExploration de données (Informatique)
650 6 $aGestion$xMéthodes statistiques.
650 7 $aBUSINESS & ECONOMICS$xCorporate Governance.$2bisacsh
650 7 $aBUSINESS & ECONOMICS$xLeadership.$2bisacsh
650 7 $aBUSINESS & ECONOMICS$xOrganizational Development.$2bisacsh
650 7 $aBUSINESS & ECONOMICS$xWorkplace Culture.$2bisacsh
650 7 $aBusiness intelligence.$2fast$0(OCoLC)fst00842723
650 7 $aBusiness planning.$2fast$0(OCoLC)fst00842819
650 7 $aData mining.$2fast$0(OCoLC)fst00887946
650 7 $aDecision making$xStatistical methods.$2fast$0(OCoLC)fst00889068
650 7 $aManagement$xStatistical methods.$2fast$0(OCoLC)fst01007232
655 4 $aElectronic books.
700 1 $aLiebowitz, Jay,$d1957-
776 08 $iPrint version:$tBig data and business analytics.$dBoca Raton, FL : CRC Press, 2013$z9781466565784$w(DLC) 2013004216$w(OCoLC)794041127
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15800676$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS