Cross-Section of Business Intelligence Projects: Information Systems Success Perspective
Perspectives in Business Informatics Research: 23rd International Conference on Business Informatics Research (BIR 2024): Proceedings. Lecture Notes in Business Information Processing. Vol.529 2024
Dace Kvalberga, Jānis Grabis

Business Intelligence systems have become one of the most widely used information systems yet their efficient and successful usage requires advanced digital skills of business users, implementation team and digital transformation of organization in general. These requirements are particularly profound in implementation of self-service business intelligence solutions. In order to evaluate factors influencing success or failure of implementation of self-service business intelligence solutions, this paper adopts a modified DeLone and McLean IS success model. The modified model emphasizes importance of organizational factors and correlates user intent and satisfaction with leading and lagging indicators characterizing the implementation. The model is applied to analyze more than a hundred business intelligence implementation projects in small and medium size companies. An in-depth analysis of one successful project and one failed project is performed. The model offers a tool for business intelligence project management teams to increase success rates, to get insights from ongoing projects, to understand past failures and to plan better work for future projects.


Keywords
Business intelligence | self-service | success model
DOI
10.1007/978-3-031-71333-0_9
Hyperlink
https://link.springer.com/chapter/10.1007/978-3-031-71333-0_9

Kvalberga, D., Grabis, J. Cross-Section of Business Intelligence Projects: Information Systems Success Perspective. In: Perspectives in Business Informatics Research: 23rd International Conference on Business Informatics Research (BIR 2024): Proceedings. Lecture Notes in Business Information Processing. Vol.529, Czech Republic, Prague, 11-13 September, 2024. Cham: Springer, 2024, pp.135-149. ISBN 978-3-031-71332-3. e-ISBN 978-3-031-71333-0. ISSN 1865-1348. e-ISSN 1865-1356. Available from: doi:10.1007/978-3-031-71333-0_9

Publication language
English (en)
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