Springer - Big Data and Analytics 2015 Retail eBook-BitBook


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Torrent File Content (3 files)


Springer.-.Big.Data.and.Analytics.2015.Retail.eBook-BitBook
     bb-Big Data and Analytics.pdf -
4.82 MB

     bitbook.nfo -
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     file_id.diz -
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Description



 							
 | Big Data and Analytics |   | |   | Strategic and Organizational Impacts |   | |   | |   | DATE:
2015-04-04 SIZE: 3,38MB DISKS: 01_______4,77MB PAGES: |   | |   | PUBLISHER: Springer GENRE: Computer Science |   | |  
| AUTHOR: Morabito, Vincenzo |   | |   | FORMAT: PDF PROTECTION: none EDITION: |   | |   | URL:
www.springer.com/us/book/9783319106649#otherversion=9783319106656 |   | |   | LANGUAGE: English ISBN: 978-3-319-10665-6
|   : :   : This book presents and discusses the main strategic and organizationalcan :   : use the book as a toolbox to
improve understanding and exploit business :   : opportunities related to Big Data and analytics. challenges posed by
Big :   : Data and analytics in a manner relevant to both practitioners and scholars.:   : The first part of the book
analyzes strategic issues relating to the :   : growing relevance of Big Data and analytics for competitive advantage, :
  : which is also attributable to empowerment of activities such as consumer :   : profiling, market segmentation, and
development of new products or :   : services. Detailed consideration is also given to the strategic impact of :   : Big
Data and analytics on innovation in domains such as government and :   : education and to Big Data-driven business
models. The second part of the :   : book addresses the impact of Big Data and analytics on management and :   :
organizations, focusing on challenges for governance, evaluation, and :   : change management, while the concluding part
reviews real examples of Big :   : Data and analytics innovation at the global level. The text is supported by:   :
informative illustrations and case studies, so that practitioners can use :   : the book as a toolbox to improve
understanding and exploit business :   : opportunities related to Big Data and analytics. 

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