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Big Data Management: How Organizations Create and Implement Data Strategies

  • Francesco CoreaEmail author
Chapter
Part of the Studies in Big Data book series (SBD, volume 50)

Abstract

Big data is often approached as a mere technical problem, while many times projects fail because of lack of strategic focus. Implementing the right process may help companies to efficiently run analytics works and for this reason, the chapter proposes a few concepts that can support the organizational development of a big data blueprint. Three main ideas will be outlined here: the data lean approach, the maturity map, and different organization models for a data team.

References

  1. Corea, F. (2016). Big Data Analytics: A Management Perspective. Studies Series in Big Data, 21. Springer International Publishing.Google Scholar
  2. Davenport, T. H. (2015). The rise of automated analytics. The Wall Street Journal, January 14th 2015. Accessed on October 30th 2015 (available at http://www.tomdavenport.com/wp-content/uploads/The-Rise-of-Automated-Analytics.pdf).
  3. Doornik, J. A., & Hendry, D. F. (2015). Statistical model selection with big data. Cogent Economics & Finance, 3, 1045216.CrossRefGoogle Scholar
  4. Pearson, T., Wegener, R. (2013). Big data: the organizational challenge, Bain & Company White paper.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of ManagementCa’ Foscari UniversityVeniceItaly

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