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Managing Change for Big Data Driven Innovation

In: Big Data and Analytics

Author

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  • Vincenzo Morabito

    (Bocconi University)

Abstract

Big data is now becoming a key organizational asset, which represents a strategic basis for business competition. This development is making organizations to consider new innovative techniques on maximizing the potentials of big data as well as the challenges it creates. Yet, the success of many organizations demands new skills as well as new perspectives on how the epoch of big data could advance the speed of business processes. With the growth of big data, new analytics tools have evolved together with new progressive business models. In this chapter, we explore the innovative capabilities of the growing big data phenomenon by discussing issues concerning its methodologies, its impact on organizations business models, novel tools for analytics including challenges encountered by many business organizations. Our findings are substantiated by describing the real-life cases of AdobeAdobe and Hewlett PackardHewlett Packard organizations.

Suggested Citation

  • Vincenzo Morabito, 2015. "Managing Change for Big Data Driven Innovation," Springer Books, in: Big Data and Analytics, edition 127, chapter 0, pages 125-153, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-10665-6_7
    DOI: 10.1007/978-3-319-10665-6_7
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    Cited by:

    1. Akhter Salahuddin MOHAMMED, 2022. "How Analytics Creates Strategic Business Value: Perspectives from French MNCs," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(11), pages 65-72, November.
    2. Samuel Jacob ABERMANN & Carlos ALVAREZ, 2022. "How Analytics Is Facilitating Global Trade: Evidence from Modernizing the Global Supply Chain," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 3(10), pages 60-72, October.

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