Open this publication in new window or tab >>2023 (English)In: Journal of Decision Systems, ISSN 1246-0125, E-ISSN 2116-7052, Vol. 32, no 2, p. 491-512Article in journal (Refereed) Published
Abstract [en]
Self-service business intelligence (SSBI) enables all users, including those with limited technical skills, to perform business intelligence (BI) tasks without the support of BI experts. SSBI reduces pressure on BI experts, gives more freedom to self-reliant users and speeds up decision-making. Recent research has illustrated how organisations experience numerous challenges when trying to obtain SSBI benefits. The AQUIRE framework organises 37 identified SSBI challenges in five categories: Access and use of data, Data Quality, User Independence, creating Reports and Education. SSBI literature does poorly address how these challenges can be tackled. This research study aimed to identify strategies on how to manage those 37 SSBI challenges. The performed case study includes 24 semi-structured interviews with respondents from two organisations which have been heavily involved in SSBI implementation. The results reveal how nine identified SSBI success factors are related to the 37 AQUIRE challenges and how they can be addressed over time.
Place, publisher, year, edition, pages
Taylor & Francis Group, 2023
Keywords
Self service business intelligence, success factors, challenges, SSBI, education
National Category
Information Systems
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-21038 (URN)10.1080/12460125.2022.2057006 (DOI)000780314700001 ()2-s2.0-85127119742 (Scopus ID)
Funder
Swedish Civil Contingencies Agency, 2016-3046
Note
CC BY-NC-ND 4.0
Published online: 23 Mar 2022
CONTACT Christian Lennerholt christian.lennerholt@his.se School of Informatics, University of Skövde, Skövde, Sweden
This research was supported by Grant [2016-3046] of the Swedish Civil Contingencies Agency
2022-04-062022-04-062023-08-15Bibliographically approved