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Rätt information till rätt person i rätt tid: Hur organisationer lyckas med självbetjäning inom Business Intelligence
Umeå University, Faculty of Social Sciences, Department of Informatics.
Umeå University, Faculty of Social Sciences, Department of Informatics.
2023 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Right information to right person in right time (English)
Abstract [en]

Business intelligence is a tool that helps decision makers make informed decisions based on data. Self-Service is an extension of Business Intelligence that focuses on the individual that uses BI-tools and how independent they are. The purpose of this research paper is to cover missing pieces from previous research regarding Self-Service Business Intelligence and to identify factors that can help organizations succeed to become more independent decision makers. This paper is focused only on the combination of Self-Service and Business Intelligence and on organizations that are in the beginning of their usage of BI- tools. Previous research shows that there are many challenges that can affect users and organizations in the process of becoming more Self-Serviced in Business Intelligence. By conducting a case study with the help of a qualitative research method consisting of seven semi-structured interviews, a strategy has been created to help organizations identify what they need to do, to reach a higher level of independent decision-making. The collected data has been analyzed by using an inductive method. The results of the analysis and previous research has led to the conclusion of the study which involves a model consisting of four steps that need to be assessed to overcome the challenges of becoming Self-Service Business Intelligence users. The four steps consist of; becoming aware of the organization’s level of digital maturity; conducting education to raise internal knowledge; identifying different internal needs; and, finally, making BI-reports available to the users, thus increasing accessibility.

Place, publisher, year, edition, pages
2023. , p. 27
Series
Informatik Student Paper Bachelor (INFSPB) ; 2023:04
Keywords [en]
Business Intelligence, Self Service, BI, SSBI, Self Service Business Intelligence
Keywords [sv]
Business Intelligence, Självbetjäning, BI, SSBI, Self Service Business Intelligence
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:umu:diva-208402OAI: oai:DiVA.org:umu-208402DiVA, id: diva2:1758704
External cooperation
Anonym
Educational program
Programmet för Systemvetenskap
Presentation
2023-04-27, Ma 456, Campustorget 5, Umeå, 09:15 (Swedish)
Supervisors
Examiners
Available from: 2023-05-24 Created: 2023-05-23 Last updated: 2023-05-24Bibliographically approved

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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
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  • 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