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Business intelligence in relation to other information systems
Dept. of Computer and Systems Sciences, Stockholm University, Forum 100, Kista, Sweden .
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. Dept. of Computer and Systems Sciences, Stockholm University, Forum 100, Kista, Sweden .ORCID iD: 0000-0003-0310-0018
Dept. of Computer and Systems Sciences, Stockholm University, Forum 100, Kista, Sweden .
2014 (English)In: 2014 14th International Conference on Advances in ICT for Emerging Regions, ICTer 2014 - Conference Proceedings, IEEE conference proceedings, 2014, 103-108 p.Conference paper, Published paper (Refereed)
Abstract [en]

Business intelligence (BI) systems are one of the major computing trends during the last ten years, in developed as well as developing countries. However, as often witnessed, the implementations are to a large extent not very successful. Our concern in this paper is the decision support role of BI systems, the perceived business value of implemented systems, and their contribution to facilitate the fulfilment of organisational goals. The study builds upon deep interviews with managers in combination with a previous quantitative survey. The survey and the interviews used three categories of questions: 1) how visions, objectives, strategies are supported by BI systems; 2) how business values are derived from such systems; and 3) how design and implementation issues affect the solutions. The overall conclusion of the study is that there are major problems in all three areas although not equally dire. What clearly emerges is that much of the problems encountered come from failing to appreciate the different nature of BI systems compared to support systems for daily operational processes. Thus, a fundamental reason for BI projects not succeeding entirely is that they are being wrongfully treated as just another kind of traditional information systems.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 103-108 p.
Keyword [en]
Business intelligence, decision support, information systems
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:miun:diva-25934DOI: 10.1109/ICTER.2014.7083887Scopus ID: 2-s2.0-84988241429Local ID: 000380507000016ISBN: 9781479977321 (print)OAI: oai:DiVA.org:miun-25934DiVA: diva2:856166
Conference
2014 14th International Conference on Advances in ICT for Emerging Regions, ICTer 2014, 10 December 2014 through 13 December 2014
Note

Export Date: 23 September 2015

Available from: 2015-09-23 Created: 2015-09-23 Last updated: 2017-07-04Bibliographically approved

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CiteExportLink to record
Permanent link

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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