Coverart for item
The Resource Big data and business analytics, edited by Jay Liebowitz ; foreword by Joe LaCugna, PhD, Starbucks Coffee Company

Big data and business analytics, edited by Jay Liebowitz ; foreword by Joe LaCugna, PhD, Starbucks Coffee Company

Label
Big data and business analytics
Title
Big data and business analytics
Statement of responsibility
edited by Jay Liebowitz ; foreword by Joe LaCugna, PhD, Starbucks Coffee Company
Contributor
Subject
Language
eng
Cataloging source
DLC
Dewey number
658.4/72
Illustrations
illustrations
Index
index present
LC call number
HD38.7
LC item number
.B54 2013
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1957-
http://library.link/vocab/relatedWorkOrContributorName
Liebowitz, Jay
http://library.link/vocab/subjectName
  • Business intelligence
  • Business planning
  • Decision making
  • Data mining
  • Management
Label
Big data and business analytics, edited by Jay Liebowitz ; foreword by Joe LaCugna, PhD, Starbucks Coffee Company
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
Architecting the enterprise via big data analytics / Joseph Betser and David Belanger -- Jack and the big data beanstalk: capitalizing on a growing marketing opportunity / Tim Suther, Bill Burkart, and Jie Cheng -- Frontiers of big data business analytics: patterns and cases in online marketing / Daqing Zhao -- The intrinsic value of data / Omer Trajman -- Finding big value in big data: unlocking the power of high-performance analytics / Paul Kent, Radhika Kulkarni, and Udo Sglavo -- Competitors, intelligence, and big data / G. Scott Erickson and Helen N. Rothberg -- Saving lives with big data: unlocking the hidden potential in electronic health records / Juergen Klenk, Yugal Sharma, and Jeni Fan -- Innovation patterns and big data / Daniel Conway and Diego Klabjan -- Big data at the U.S. department of transportation / Daniel Pitton -- Putting big data at the heart of the decision-making process / Ian Thomas -- Extracting useful information from multivariate temporal data / Artur Dubrawski -- Large-scale time-series forecasting / Murray Stokely, Farzan Rohani, and Eric Tassone -- Using big data and analytics to unlock generosity / Mike Bugembe -- The use of big data in healthcare / Katherine Marconi, Matt Dobra, and Charles Thompson -- Big data: structured and unstructured / Arun K. Majumdar and John F. Sowa
Control code
794041127
Dimensions
25 cm
Extent
xxi, 282 pages
Isbn
9781466565784
Isbn Type
(hardcover : alk. paper)
Lccn
2013004216
Media category
unmediated
Media MARC source
rdamedia.
Media type code
  • n
Other physical details
illustrations
Label
Big data and business analytics, edited by Jay Liebowitz ; foreword by Joe LaCugna, PhD, Starbucks Coffee Company
Publication
Copyright
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
Architecting the enterprise via big data analytics / Joseph Betser and David Belanger -- Jack and the big data beanstalk: capitalizing on a growing marketing opportunity / Tim Suther, Bill Burkart, and Jie Cheng -- Frontiers of big data business analytics: patterns and cases in online marketing / Daqing Zhao -- The intrinsic value of data / Omer Trajman -- Finding big value in big data: unlocking the power of high-performance analytics / Paul Kent, Radhika Kulkarni, and Udo Sglavo -- Competitors, intelligence, and big data / G. Scott Erickson and Helen N. Rothberg -- Saving lives with big data: unlocking the hidden potential in electronic health records / Juergen Klenk, Yugal Sharma, and Jeni Fan -- Innovation patterns and big data / Daniel Conway and Diego Klabjan -- Big data at the U.S. department of transportation / Daniel Pitton -- Putting big data at the heart of the decision-making process / Ian Thomas -- Extracting useful information from multivariate temporal data / Artur Dubrawski -- Large-scale time-series forecasting / Murray Stokely, Farzan Rohani, and Eric Tassone -- Using big data and analytics to unlock generosity / Mike Bugembe -- The use of big data in healthcare / Katherine Marconi, Matt Dobra, and Charles Thompson -- Big data: structured and unstructured / Arun K. Majumdar and John F. Sowa
Control code
794041127
Dimensions
25 cm
Extent
xxi, 282 pages
Isbn
9781466565784
Isbn Type
(hardcover : alk. paper)
Lccn
2013004216
Media category
unmediated
Media MARC source
rdamedia.
Media type code
  • n
Other physical details
illustrations

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
Processing Feedback ...