Rätt information till rätt person i rätt tid: Hur organisationer lyckas med självbetjäning inom Business Intelligence
2023 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE credits
Student 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
2023-05-242023-05-232023-05-24Bibliographically approved