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Data Driven Transformation Journey through Data Democracy: A Case Study of a Swedish Bank
Linnaeus University, Faculty of Technology, Department of Informatics.
Linnaeus University, Faculty of Technology, Department of Informatics.ORCID iD: 0000-0001-7520-695x
2022 (English)In: Proceedings of the 15th IADIS international conference, Inforamtion system 2022: 12-14 March 2022 / [ed] Miguel Baptista Nunes, Pedro IsaĆ­as and Philip Powell, IADIS Press, 2022, p. 65-72Conference paper, Published paper (Refereed)
Sustainable development
SDG 9: Build resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation
Abstract [en]

Nowadays, data has emerged as a resource of prime importance, and an insightful use of it in a data-centric workforce can provide continuous competitive advantage. In their journey of becoming data-driven, many organizations invest in underlying resources and adjust business models accordingly. In the academic literature, the importance of becoming data-driven and utilizing the data analytics tools in achieving the transformation vision has been widely discussed and explored. Nevertheless, when it comes to data democracy and opening the data within organizations, there is still a noticeable gap. The significance of this paper relies on the relevance of empowering organizations toward creating the right instruction on how to achieve data democracy in their data-driven transformation path. By focusing on a case study, this work reveals, among others, the correlation between the benefits from empowering different players of the organization with the needed data knowledge, and the acceleration of the digital transformation journey.

Place, publisher, year, edition, pages
IADIS Press, 2022. p. 65-72
Keywords [en]
Digital Transformation, Data Democracy, Data Analytics, Citizen Data Scientist, Data-Driven Decision Making
National Category
Information Systems
Research subject
Computer and Information Sciences Computer Science, Information Systems
Identifiers
URN: urn:nbn:se:lnu:diva-115256Scopus ID: 2-s2.0-85137719337ISBN: 9789898704375 (print)OAI: oai:DiVA.org:lnu-115256DiVA, id: diva2:1682003
Conference
IADIS International Conference of Information Systems, 12-14 March 2022
Available from: 2022-07-08 Created: 2022-07-08 Last updated: 2024-08-28Bibliographically approved

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Dalipi, Fisnik

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf