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Implementation challenges of Self Service Business Intelligence: A literature review
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Informationssystem, Information Systems (IS))
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Informationssystem, Information Systems (IS))ORCID-id: 0000-0003-0488-6841
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. (Informationssystem, Information Systems (IS))
2018 (engelsk)Inngår i: Proceedings of the 51st Hawaii International Conference on System Sciences, Hilton Waikoloa Village, Hawaii, USA: IEEE Computer Society, 2018, Vol. 51, s. 5055-5063, artikkel-id 0633Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Hilton Waikoloa Village, Hawaii, USA: IEEE Computer Society, 2018. Vol. 51, s. 5055-5063, artikkel-id 0633
Serie
Annual Hawaii International Conference on System Sciences. Proceedings, ISSN 1060-3425, E-ISSN 1530-1605
HSV kategori
Forskningsprogram
Informationssystem (IS)
Identifikatorer
URN: urn:nbn:se:his:diva-14618ISBN: 978-0-9981331-1-9 (digital)OAI: oai:DiVA.org:his-14618DiVA, id: diva2:1170841
Konferanse
51st Hawaii International Conference on System Sciences, Hilton Waikoloa Village, Hawaii, USA, January 3-6, 2018
Prosjekter
CCRAAAFFFTING
Forskningsfinansiär
Swedish Civil Contingencies Agency, 2016-3046Tilgjengelig fra: 2018-01-04 Laget: 2018-01-04 Sist oppdatert: 2018-04-25bibliografisk kontrollert

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Lennerholt, Christianvan Laere, JoeriSöderström, Eva

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