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The BI-Based Organization

Author

Listed:
  • Barbara Wixom

    (University of Virginia, USA)

  • Hugh Watson

    (University of Georgia, USA)

Abstract

Business intelligence (BI) is an umbrella term that is commonly used to describe the technologies, applications, and processes for gathering, storing, accessing, and analyzing data to help users make better decisions. For BI-based firms, BI is a prerequisite for competing in the marketplace. Though there are several possible BI targets, it is important to understand how they differ in terms of strategic vision, level of sponsorship, required resources, impact on people and processes, and benefits. Some companies like Harrah’s Entertainment, Continental Airlines, Norfolk Southern, and Blue Cross and Blue Shield of North Carolina are exemplars of BI best practices. Despite the progress made with BI, there are still many opportunities for academic research.

Suggested Citation

  • Barbara Wixom & Hugh Watson, 2010. "The BI-Based Organization," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 1(1), pages 13-28, January.
  • Handle: RePEc:igg:jbir00:v:1:y:2010:i:1:p:13-28
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    Cited by:

    1. Xu, Xun & Wang, Xuequn & Li, Yibai & Haghighi, Mohammad, 2017. "Business intelligence in online customer textual reviews: Understanding consumer perceptions and influential factors," International Journal of Information Management, Elsevier, vol. 37(6), pages 673-683.
    2. 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.
    3. Järvenpää, Marko & Hoque, Zahirul & Mättö, Toni & Rautiainen, Antti, 2023. "Controllers’ role in managerial sensemaking and information trust building in a business intelligence environment," International Journal of Accounting Information Systems, Elsevier, vol. 50(C).
    4. 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.
    5. Schulz, Michael & Winter, Patrick & Choi, Sang-Kyu Thomas, 2015. "On the relevance of reports—Integrating an automated archiving component into a business intelligence system," International Journal of Information Management, Elsevier, vol. 35(6), pages 662-671.

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