Critical Success Factors for the Implementation of Business Intelligence Systems

Critical Success Factors for the Implementation of Business Intelligence Systems

Florian Eder (Department of Business Informatics - Information Engineering, Johannes Kepler University, Linz, Austria) and Stefan Koch (Department of Business Informatics - Information Engineering, Johannes Kepler University, Linz, Austria)
Copyright: © 2018 |Pages: 20
DOI: 10.4018/IJBIR.2018070102

Abstract

This article focuses on critical success factors during the implementation of a business intelligence system. The existing literature was reviewed, and critical success factors were extracted. Subsequently, the critical success factors that occur in practice were collected through qualitative expert interviews that are analysed through a qualitative content analysis. The critical success factors found in literature are afterwards compared with those that have been collected during the expert interviews. It was found that many of the critical success factors were mentioned in the literature and in the expert interviews as well, such as a strong management support, a light-weight approach, user acceptance, the project team and data quality. In addition, the performance of the business intelligence system, the definition of standards, terminology and key performance indicators as well as an institutionalization and integration of business intelligence were mentioned in the expert interviews.
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2. Critical Success Factors For The Implementation Of Bi Systems

In order to answer the research question, this paper is built on first performing a comprehensive literature review followed by an empirical investigation through expert interviews. For the review, various databases have been used, but also websites of business intelligence providers or known computer magazines. As search strategy, individual terms such as “business intelligence”, “success factors”, “business intelligence project”, “critical success factors” or “business intelligence implementation”, as well as combinations of them were used, and backward literature search was performed from relevant results. Also, the term “business intelligence” combined with already found critical success factors were used.

Rockart (1978, p. 85) defines critical success factors (CSFs) as “a limited set of areas where suitable results provide a competitive advantage. Critical success factors are the few key areas in which the actions and intentions must be correct so that the business runs successfully, and the goals of the manager can be achieved”. Additionally, Yeoh and Koronios (2010, pp. 26-28) classify critical success factors into three perspectives: organisational, process and technology. This categorisation was adopted in the rest of the paper to see the main focus of each critical success factor and at the same time the role that could be seen as responsible to counteract any problems for a CSF. Additionally, the categorisation highlights that critical success factors for business intelligence implementation projects are not only technical ones, and was able incorporate all factors found in literature.

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