Big Data and Analytics: Strategic and Organizational Impacts

ISBN-13: 9783319364766 / Angielski / Miękka / 2016 / 183 str.

Vincenzo Morabito

Opis

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.

Spis treści

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

O autorze

Vincenzo Morabito, PhD, is Associate Professor at the Management & Technology Department, Università Commerciale Luigi Bocconi (Bocconi University), Milan, Italy. He gained his doctorate from the Università Commerciale Luigi Bocconi and was a Research Scholar at both the Center for Information System Research, MIT Sloan School of Management (2006) and the Decision and Information Science Department, University of Florida (2005/2006). Vincenzo Morabito is in charge of the course on Business Organization, Management of Information Systems, and Information Management for the various degree programs of Bocconi University. He has participated in a variety of research projects, many financed by the Italian Ministry of University and Scientific Research (Ministero dell'Università e della Ricerca Scientifica e Tecnologica).

Blurb

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.