13 Organizations' Attempts to Become Data-Driven

Mikael Berndtsson, Christian Lennerholt, Thomas Svahn, Peter Larsson

Source Title: International Journal of Business Intelligence Research (IJBIR)11(1)

ISSN: 1947-3591|EISSN: 1947-3605|EISBN13: 9781799807155|DOI: 10.4018/IJBIR.2020010101

MLA

Berndtsson, Mikael, et al. "13 Organizations' Attempts to Become Data-Driven." IJBIR vol.11, no.1 2020: pp.1-21. http://doi.org/10.4018/IJBIR.2020010101

APA

Berndtsson, M., Lennerholt, C., Svahn, T., & Larsson, P. (2020). 13 Organizations' Attempts to Become Data-Driven. International Journal of Business Intelligence Research (IJBIR), 11(1), 1-21. http://doi.org/10.4018/IJBIR.2020010101

Chicago

Berndtsson, Mikael, et al. "13 Organizations' Attempts to Become Data-Driven," International Journal of Business Intelligence Research (IJBIR) 11, no.1: 1-21. http://doi.org/10.4018/IJBIR.2020010101

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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.