Towards a business intelligence systems development methodology: Drawing on decision support and executive information systems

Ehsanur Rahman Safwan, Rob Meredith, Frada Burstein

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    2 Citations (Scopus)


    Business Intelligence (BI) systems are important IT platforms providing decision support in many enterprises, but there is a lack of independent BI-specific systems development methodologies. Further, while BI has been acknowledged as a successor to Executive Information Systems (EIS), there is little empirical evidence underpinning this view. This paper presents a case study of a BI systems development project in a large Australian healthcare organisation to argue that the development challenges faced by BI systems developers are largely similar to the challenges addressed by EIS development methodologies, and that an EIS development methodology is a useful starting point for designing a development methodology specifically for BI systems.
    Original languageEnglish
    Title of host publicationPACIS 2016 Proceedings
    EditorsPatrick Y. K. Chau, She-I Chang
    PublisherAssociation for Information Systems
    Number of pages15
    ISBN (Electronic)9789860491029
    Publication statusPublished - 27 Jun 2016
    EventPacific Asia Conference on Information Systems 2016: IT Governance for Future Society - Chiayi, Taiwan
    Duration: 27 Jun 20161 Jul 2016
    Conference number: 20th


    ConferencePacific Asia Conference on Information Systems 2016
    Abbreviated titlePACIS 2016
    OtherThe Pacific Asia Conference on Information Systems (PACIS) is an annual academic conference intended to provide a high quality conference for researchers, senior scholars, practitioners to share their visions and knowledge. The theme of the conference this year is “IT Governance for Future Society.” With the rapid development and application of new information technologies, how to manage them effectively to increase productivity and reduce risks is critical. This is particularly important for developing countries in the Asia Pacific Region.
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    • Business intelligence
    • Data warehousing
    • Development methodologies
    • Healthcare

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