Big Data and Analytics

Strategic and Organizational Impacts
2015
ISBN: 978-3-319-10664-9
Verlag: Springer International Publishing

Buch, Englisch, 183 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 4439 g

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Morabito, Vincenzo

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management E-Commerce, E-Business, E-Marketing
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

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

Über Autor(innen)

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).