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A Matrix for Assessing Data-Driven Culture in Teams
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Informationssystem)ORCID iD: 0000-0001-8362-3825
Capgemini Insights & Data, Sweden.
2022 (English)In: Proceedings of the 2022 Pre-ICIS SIGDSA Symposium, Association for Information Systems, 2022, article id 6Conference paper, Published paper (Refereed)
Abstract [en]

Establishing a data-driven culture in teams is on the agenda for many managers and analytics leaders. With a data-driven culture in place, it is envisioned that investments in analytics can be used to their full potential. In practice, most organizations struggle to establish a data-driven culture in teams and have few tools available to assess the level of maturity.

Related research has focused on maturity models in business intelligence & analytics that target the organizational level. Hence, these maturity models provide limited support for assessing the team level, e.g., why some teams do not develop a data-driven culture.

This paper used a systematic literature review and an online questionnaire to develop a matrix for assessing a team's maturity in data-driven culture. The matrix synthesizes previous work in analytics and group development. Findings from the literature review revealed a mismatch between problems addressed by the research community and perceived problems in practice by organizations.

Place, publisher, year, edition, pages
Association for Information Systems, 2022. article id 6
Keywords [en]
Data-driven culture, data-driven organizations, analytics, business intelligence, maturity models, group development
National Category
Information Systems, Social aspects
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-22108OAI: oai:DiVA.org:his-22108DiVA, id: diva2:1717997
Conference
2022 Pre-ICIS SIGDSA Symposium Special Interest Group on Decision Support and Analytics (SIGDSA), Symposium on Analytics for Digital Frontiers, December 10, 2022 at the Copenhagen Business School in Copenhagen, Denmark
Projects
Ökad användning av dataanalys
Funder
Vinnova, 2022-01211Available from: 2022-12-12 Created: 2022-12-12 Last updated: 2023-01-25Bibliographically approved

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https://aisel.aisnet.org/sigdsa2022/6/

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Berndtsson, Mikael

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CiteExportLink to record
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Citation style
  • apa
  • apa-cv
  • ieee
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More styles
Language
  • de-DE
  • en-GB
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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