04317nam 22007575 450 991029849520332120200919152935.03-319-10665-110.1007/978-3-319-10665-6(CKB)3710000000343615(EBL)1969300(SSID)ssj0001424156(PQKBManifestationID)11801973(PQKBTitleCode)TC0001424156(PQKBWorkID)11366940(PQKB)11620721(DE-He213)978-3-319-10665-6(MiAaPQ)EBC1969300(PPN)183516885(EXLCZ)99371000000034361520150131d2015 u| 0engur|n|---|||||txtccrBig Data and Analytics[electronic resource] Strategic and Organizational Impacts /by Vincenzo Morabito1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (202 p.)Description based upon print version of record.3-319-10664-3 Includes bibliographical references.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.ManagementIndustrial managementInformation technologyBusiness—Data processingManagement information systemsComputer scienceDatabase managementInnovation/Technology Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/518000IT in Businesshttps://scigraph.springernature.com/ontologies/product-market-codes/522000Management of Computing and Information Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I24067Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Management.Industrial management.Information technology.Business—Data processing.Management information systems.Computer science.Database management.Innovation/Technology Management.IT in Business.Management of Computing and Information Systems.Database Management.005.74330650658514Morabito Vincenzoauthttp://id.loc.gov/vocabulary/relators/aut285188BOOK9910298495203321Big Data and Analytics2504706UNINA