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Big data and analytics = strategic and organizational impacts /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Big data and analytics/ by Vincenzo Morabito.
Reminder of title:	strategic and organizational impacts /
Author:	Morabito, Vincenzo.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xxvi, 183 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Big data. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-10665-6
ISBN:	9783319106656 (electronic bk.)

Big data and analytics = strategic and organizational impacts /
Morabito, Vincenzo.

Big data and analyticsstrategic and organizational impacts /[electronic resource] :by Vincenzo Morabito. - Cham :Springer International Publishing :2015. - xxvi, 183 p. :ill., digital ;24 cm.

Part I Strategy -- 1 Big Data and analytics for competitive advantage -- 2 Big Data and analytics for government innovation -- 3 Big Data and education: massive digital education systems -- 4 Big Data driven business models -- Part II Organization -- 5 Big Data governance -- 6 Big Data and digital business evaluation -- 7 Managing change for Big Data driven innovation -- Part III Innovation practices -- 8 Big Data and analytics innovation practices -- 9 Conclusion.

This book presents and discusses the main strategic and organizational 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.

ISBN: 9783319106656 (electronic bk.)

Standard No.: 10.1007/978-3-319-10665-6doiSubjects--Topical Terms:

981821
Big data.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 005.7

Big data and analytics = strategic and organizational impacts /
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245 1 0 $a Big data and analytics $h [electronic resource] : $b strategic and organizational impacts / $c by Vincenzo Morabito.
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300 $a xxvi, 183 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I Strategy -- 1 Big Data and analytics for competitive advantage -- 2 Big Data and analytics for government innovation -- 3 Big Data and education: massive digital education systems -- 4 Big Data driven business models -- Part II Organization -- 5 Big Data governance -- 6 Big Data and digital business evaluation -- 7 Managing change for Big Data driven innovation -- Part III Innovation practices -- 8 Big Data and analytics innovation practices -- 9 Conclusion.
520 $a This book presents and discusses the main strategic and organizational 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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