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Business Intelligence Strategy: A Utilities Company Case Study

Author

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  • Paul Hawking

    (Institute for Logistics and Supply Chain Management, College of Business, Victoria University, Melbourne, Australia)

  • Carmine Sellitto

    (Institute for Logistics and Supply Chain Management, College of Business, Victoria University, Melbourne, Australia)

Abstract

Although Business Intelligence is seen as priority by many companies, the level of benefits achieved varies significantly between firms. Researchers have indicated that not having an effective Business Intelligence strategy is a significant issue in regards to trying to realize organizational benefits. This paper adopting a case study method investigates an Australian energy company's Business Intelligence adoption and the development of a Business Intelligence strategy that directly informed the firm's information needs. The important elements of this strategy included using a set of guiding principles to ensure that there was a close alignment of Business Intelligence outcomes with the company's needs. The paper provides insights for researchers and practitioners on the important factors need to be considered to achieve effective Business Intelligence.

Suggested Citation

  • Paul Hawking & Carmine Sellitto, 2015. "Business Intelligence Strategy: A Utilities Company Case Study," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 11(1), pages 1-12, January.
  • Handle: RePEc:igg:jeis00:v:11:y:2015:i:1:p:1-12
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijeis.2015010101
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    Cited by:

    1. Muhammad Faizal Samat & Mohd Nor Hakimin Yusoff & Mohammad Ismail, 2018. "The Mediating Effect of Social Media Marketing Adoption between Competitive Intelligence and SME Performance," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 8(7), pages 379-387, July.
    2. Morgan, Horatio M. & Ngwenyama, Ojelanki, 2015. "Real options, learning cost and timing software upgrades: Towards an integrative model for enterprise software upgrade decision analysis," International Journal of Production Economics, Elsevier, vol. 168(C), pages 211-223.

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