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024 7 $a10.1007/978-3-319-10665-6
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100   $a20150131d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aBig Data and Analytics $eStrategic and Organizational Impacts /$fby Vincenzo Morabito
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (202 p.)
300   $aDescription based upon print version of record.
311   $a3-319-10664-3 
320   $aIncludes bibliographical references.
327   $aPart 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.
330   $aThis 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.
606   $aManagement
606   $aIndustrial management
606   $aInformation technology
606   $aBusiness?Data processing
606   $aManagement information systems
606   $aComputer science
606   $aDatabase management
606   $aInnovation/Technology Management$3https://scigraph.springernature.com/ontologies/product-market-codes/518000
606   $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000
606   $aManagement of Computing and Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I24067
606   $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024
615  0$aManagement.
615  0$aIndustrial management.
615  0$aInformation technology.
615  0$aBusiness?Data processing.
615  0$aManagement information systems.
615  0$aComputer science.
615  0$aDatabase management.
615 14$aInnovation/Technology Management.
615 24$aIT in Business.
615 24$aManagement of Computing and Information Systems.
615 24$aDatabase Management.
676   $a005.74
676   $a330
676   $a650
676   $a658514
700   $aMorabito$b Vincenzo$4aut$4http://id.loc.gov/vocabulary/relators/aut$0285188
906   $aBOOK
912   $a9910298495203321
996   $aBig Data and Analytics$92504706
997   $aUNINA