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What is Business Intelligence?

Author

Listed:
  • Éric Foley

    (Université de Sherbrooke,Canada)

  • Manon G. Guillemette

    (Université de Sherbrooke, Canada)

Abstract

There has been growing corporate interest in business intelligence (BI) as a path to reduced costs, improved service quality, and better decision-making processes. However, while BI has existed for years, it has difficulties reaching what specialists in the field consider its full potential. In this paper, the authors examine disparities in how the constructs of business intelligence are defined and understood, which may impede an understanding of what BI represents to business leaders and researchers. The main objective of this study is to clearly understand this emerging concept of BI. In this regard, the authors analyze articles from the scientific and professional literature to have a comprehensive understanding of business intelligence as both a product and a process. This research proposes a global overview of the conceptual foundations of BI, which can help companies understand their BI initiative and leverage them to the strategic level.

Suggested Citation

  • Éric Foley & Manon G. Guillemette, 2010. "What is Business Intelligence?," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 1(4), pages 1-28, October.
    • Handle: RePEc:igg:jbir00:v:1:y:2010:i:4:p:1-28
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jbir.2010100101
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    Cited by:

    1. Bernhard Wieder & Maria-Luise Ossimitz & Peter Chamoni, 2012. "The Impact of Business Intelligence Tools on Performance: A User Satisfaction Paradox?," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 5(3), pages 7-32, December.
    2. Basile, Luigi Jesus & Carbonara, Nunzia & Pellegrino, Roberta & Panniello, Umberto, 2023. "Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making," Technovation, Elsevier, vol. 120(C).

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