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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

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      38.944491 -92.326012
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