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User Related Challenges of Self-Service Business Intelligence
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Informationssystem (IS), Information Systems)
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Informationssystem (IS), Information Systems)ORCID iD: 0000-0003-0488-6841
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Informationssystem (IS), Information Systems)
2020 (English)In: Proceedings of the 53rd Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences , 2020, p. 188-197Conference paper, Published paper (Refereed)
Abstract [en]

Self-service Business Intelligence (SSBI) is an upcoming trend allowing non-technical casual users to use Business Intelligence (BI) in a self-reliant manner without the support of technical power users. Many organizations struggle to utilize the potential of SSBI and experience data-related and user-related SSBI implementations challenges. This study aimed at exploring user-related SSBI challenges by conducting and analyzing a total of 30 qualitative interviews with 5 BI consultants and 10 customer representatives involved in 2 SSBI implementation project teams. Analysis of the interviews revealed ten challenges related to “self-reliant users”, seven challenges related to “creating SSBI reports” and five challenges related to “SSBI education”, which differ considerably from SSBI challenges commonly discussed in literature. Awareness of these 22 challenges can help practitioners to avoid unnecessary obstacles when implementing and using SSBI, and guide SSBI researchers in simplifying the implementation process of SSBI.

Place, publisher, year, edition, pages
Hawaii International Conference on System Sciences , 2020. p. 188-197
Series
Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS), ISSN 1530-1605, E-ISSN 2572-6862
Keywords [en]
Business Intelligence, Self Service Business Intelligence, Challenges, Users
National Category
Information Systems
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-18162DOI: 10.24251/HICSS.2020.024ISBN: 978-0-9981331-3-3 (print)OAI: oai:DiVA.org:his-18162DiVA, id: diva2:1388307
Conference
The 53rd Hawaii International Conference on System Sciences. HICSS 2020. Maui, United States, January 7-10, 2020
Available from: 2020-01-24 Created: 2020-01-24 Last updated: 2020-04-22Bibliographically approved

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Lennerholt, Christianvan Laere, JoeriSöderström, Eva

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