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Implementation challenges of Self Service Business Intelligence: A literature review
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Informationssystem, Information Systems (IS))
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Informationssystem, Information Systems (IS))ORCID iD: 0000-0003-0488-6841
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Informationssystem, Information Systems (IS))
2018 (English)In: Proceedings of the 51st Hawaii International Conference on System Sciences, Hilton Waikoloa Village, Hawaii, USA: IEEE Computer Society, 2018, Vol. 51, p. 5055-5063, article id 0633Conference paper, Published paper (Refereed)
Abstract [en]

In a traditional Business Intelligence (BI) system, power users serve less experienced casual users. Power users analyze and gather data requested by casual users, and produce the reports and visualizations that casual users base their decisions on. When data volumes and the usage frequency of a traditional BI system increase, power users have problems serving all the requests from casual users. The Self Service Business Intelligence (SSBI) approach can enable users to be more self-reliant and less dependent on power users. Although SSBI promises more benefits compared to a traditional BI system, many organizations fail to implement SSBI. The literature review presented in this paper discusses six SSBI challenges related to "Access and use of data" and four challenges related to "Self-reliant users". Awareness of these ten challenges can help practitioners avoid common pitfalls, when implementing SSBI, as well as guide SSBI researchers in focusing on their future research efforts.

Place, publisher, year, edition, pages
Hilton Waikoloa Village, Hawaii, USA: IEEE Computer Society, 2018. Vol. 51, p. 5055-5063, article id 0633
Series
Annual Hawaii International Conference on System Sciences. Proceedings, ISSN 1060-3425, E-ISSN 1530-1605
National Category
Information Systems
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-14618ISBN: 978-0-9981331-1-9 (electronic)OAI: oai:DiVA.org:his-14618DiVA, id: diva2:1170841
Conference
51st Hawaii International Conference on System Sciences, Hilton Waikoloa Village, Hawaii, USA, January 3-6, 2018
Projects
CCRAAAFFFTING
Funder
Swedish Civil Contingencies Agency, 2016-3046
Available from: 2018-01-04 Created: 2018-01-04 Last updated: 2018-04-25Bibliographically approved

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Lennerholt, Christianvan Laere, JoeriSöderström, Eva
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