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13 Organizations' Attempts to Become Data-Driven

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  • Mikael Berndtsson

    (University of Skövde, Skövde, Sweden)

  • Christian Lennerholt

    (University of Skövde, Skövde, Sweden)

  • Thomas Svahn

    (Advectas AB, Malmö, Sweden)

  • Peter Larsson

    (Advectas AB, Malmö, Sweden)

Abstract

Becoming a data-driven organization is a vision for several organizations. It has been frequently mentioned in the literature that data-driven organizations are likely to be more successful than organizations that mostly make decisions on gut feeling. However, few organizations make a successful shift to become data-driven, due to a number of different types of barriers. This article investigates, the initial journey to become a data-driven organization for 13 organizations. Data has been collected via documents and interviews, and then analyzed with respect to: i) how they scaled up the usage of analytics to become data-driven; ii) strategies developed; iii) barriers encountered; and iv) usage of an overall change process. The findings are that most organizations start their journey via a pilot project, take shortcuts when developing strategies, encounter previously reported top barriers, and do not use an overall change management process.

Suggested Citation

  • Mikael Berndtsson & Christian Lennerholt & Thomas Svahn & Peter Larsson, 2020. "13 Organizations' Attempts to Become Data-Driven," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 11(1), pages 1-21, January.
    • Handle: RePEc:igg:jbir00:v:11:y:2020:i:1:p:1-21
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