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Managing the Implementation of Business Intelligence Systems: A Critical Success Factors Framework

Author

Listed:
  • William Yeoh

    (University of South Australia, Australia)

  • Andy Koronios

    (University of South Australia, Australia)

  • Jing Gao

    (University of South Australia, Australia)

Abstract

The implementation of a BI system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of CSFs for management reference. This article represents a first step of filling in the research gap. The authors utilized the Delphi method to conduct three rounds of studies with 15 BI system experts in the domain of engineering asset management organizations. The study develops a CSFs framework that consists of seven factors and associated contextual elements crucial for BI systems implementation. The CSFs are committed management support and sponsorship, business user-oriented change management, clear business vision and well-established case, business-driven methodology and project management, business-centric championship and balanced project team composition, strategic and extensible technical framework, and sustainable data quality and governance framework. This CSFs framework allows BI stakeholders to holistically understand the critical factors that influence implementation success of BI systems.

Suggested Citation

  • William Yeoh & Andy Koronios & Jing Gao, 2008. "Managing the Implementation of Business Intelligence Systems: A Critical Success Factors Framework," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 4(3), pages 79-94, July.
    • Handle: RePEc:igg:jeis00:v:4:y:2008:i:3:p:79-94
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    Citations

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    Cited by:

    1. Brooks, Patti & El-Gayar, Omar & Sarnikar, Surendra, 2015. "A framework for developing a domain specific business intelligence maturity model: Application to healthcare," International Journal of Information Management, Elsevier, vol. 35(3), pages 337-345.
    2. Côrte-Real, Nadine & Ruivo, Pedro & Oliveira, Tiago & Popovič, Aleš, 2019. "Unlocking the drivers of big data analytics value in firms," Journal of Business Research, Elsevier, vol. 97(C), pages 160-173.
    3. Paméla Baillette & Bernard Fallery, 2016. "La méthode du Delphi argumentaire, une innovation managériale dans le cadre d'un projet complexe," Post-Print hal-02160359, HAL.
    4. Acheampong Owusu, 2017. "Business intelligence systems and bank performance in Ghana: The balanced scorecard approach," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1364056-136, January.
    5. Muntean, Mihaela & Muntean, Cornelia, 2012. "Evaluating A Business Intelligence Solution. Feasibility Analysis Based On Monte Carlo Method," MPRA Paper 48478, University Library of Munich, Germany, revised 28 May 2013.
    6. Yonney Atsu Ahlijah, 2020. "Business Intelligence Deployment and Firm Performance: Literature Review of Empirical Evidences," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 7(11), pages 21-32, November.
    7. Manuel Mora & Gloria Phillips-Wren & Fen Wang & Ovsei Gelman, 2017. "An Exploratory-Comparative Study of Implementation Success Factors for MSS/DMSS and MIS," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1671-1705, November.

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