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13 Organizations' A...
13 Organizations' Attempts to Become Data-Driven
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- Berndtsson, Mikael (författare)
- Högskolan i Skövde,Institutionen för informationsteknologi,Forskningsmiljön Informationsteknologi,Informationssystem (IS), Information Systems
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- Lennerholt, Christian, 1979- (författare)
- Högskolan i Skövde,Institutionen för informationsteknologi,Forskningsmiljön Informationsteknologi,Informationssystem (IS), Information Systems
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- Svahn, Thomas (författare)
- Advectas AB, Malmö, Sweden
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- Larsson, Peter (författare)
- Advectas AB, Malmö, Sweden
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(creator_code:org_t)
- IGI Global, 2020
- 2020
- Engelska.
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Ingår i: International Journal of Business Intelligence Research. - : IGI Global. - 1947-3591 .- 1947-3605. ; 11:1, s. 1-21
- Relaterad länk:
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https://doi.org/10.4...
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https://his.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.4...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
Nyckelord
- Information Systems
- Informationssystem (IS)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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