Business Intelligence (BI) system evolution: a case in a healthcare institution

Ehsanur Rahman Safwan, Rob Meredith, Frada Burstein

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

    Abstract

    Business Intelligence (BI) systems are an important part of many organisations’ IT portfolios. While the evolutionary nature of other kinds of decision support technology has been noted, there is little research investigating the evolutionary nature of BI systems. This paper presents a case study of a BI system development in a large Australian healthcare institution and uses evolutionary theories from decision support systems (DSS) to understand the system evolution observed. The paper concludes that the theories describing evolution in DSS can also be effectively applied to BI as well. BI practitioners and developers should be aware of evolutionary triggers, as well as the different kinds of evolution that can affect BI system evolution.

    Original languageEnglish
    Title of host publicationBig Data, Better Decisions, Brighter Future
    Subtitle of host publicationProceedings of the 2016 Open Conference of the IFIP WG 8.3
    EditorsDavid Sammon, Frada Burstein, Ciara Heavin, Gloria Philips-Wren, Frederic Adam, Ana Respicio
    Place of PublicationAbingdon UK
    PublisherTaylor & Francis
    Pages463-475
    Number of pages13
    DOIs
    Publication statusPublished - 10 Jun 2016
    EventIFIP International Conference on Decision Support Systems 2016 - University College Cork, Cork, Ireland
    Duration: 22 Jun 201624 Jun 2016
    Conference number: 18th
    https://dss2016conference.wordpress.com/

    Publication series

    NameJournal of Decision Systems
    PublisherTaylor & Francis
    NumberS1
    Volume25
    ISSN (Print)1246-0125
    ISSN (Electronic)2116-7052

    Conference

    ConferenceIFIP International Conference on Decision Support Systems 2016
    Abbreviated titleIFIP DSS 2016
    CountryIreland
    CityCork
    Period22/06/1624/06/16
    Internet address

    Keywords

    • Business intelligence
    • Case study
    • Data warehousing
    • Healthcare
    • System evolution

    Cite this

    Safwan, E. R., Meredith, R., & Burstein, F. (2016). Business Intelligence (BI) system evolution: a case in a healthcare institution. In D. Sammon, F. Burstein, C. Heavin, G. Philips-Wren, F. Adam, & A. Respicio (Eds.), Big Data, Better Decisions, Brighter Future: Proceedings of the 2016 Open Conference of the IFIP WG 8.3 (pp. 463-475). (Journal of Decision Systems; Vol. 25, No. S1). Abingdon UK: Taylor & Francis. https://doi.org/10.1080/12460125.2016.1187384
    Safwan, Ehsanur Rahman ; Meredith, Rob ; Burstein, Frada. / Business Intelligence (BI) system evolution : a case in a healthcare institution. Big Data, Better Decisions, Brighter Future: Proceedings of the 2016 Open Conference of the IFIP WG 8.3. editor / David Sammon ; Frada Burstein ; Ciara Heavin ; Gloria Philips-Wren ; Frederic Adam ; Ana Respicio. Abingdon UK : Taylor & Francis, 2016. pp. 463-475 (Journal of Decision Systems; S1).
    @inproceedings{32f060ac8c324cbf9b91df41f85c2fa8,
    title = "Business Intelligence (BI) system evolution: a case in a healthcare institution",
    abstract = "Business Intelligence (BI) systems are an important part of many organisations’ IT portfolios. While the evolutionary nature of other kinds of decision support technology has been noted, there is little research investigating the evolutionary nature of BI systems. This paper presents a case study of a BI system development in a large Australian healthcare institution and uses evolutionary theories from decision support systems (DSS) to understand the system evolution observed. The paper concludes that the theories describing evolution in DSS can also be effectively applied to BI as well. BI practitioners and developers should be aware of evolutionary triggers, as well as the different kinds of evolution that can affect BI system evolution.",
    keywords = "Business intelligence, Case study, Data warehousing, Healthcare, System evolution",
    author = "Safwan, {Ehsanur Rahman} and Rob Meredith and Frada Burstein",
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    Safwan, ER, Meredith, R & Burstein, F 2016, Business Intelligence (BI) system evolution: a case in a healthcare institution. in D Sammon, F Burstein, C Heavin, G Philips-Wren, F Adam & A Respicio (eds), Big Data, Better Decisions, Brighter Future: Proceedings of the 2016 Open Conference of the IFIP WG 8.3. Journal of Decision Systems, no. S1, vol. 25, Taylor & Francis, Abingdon UK, pp. 463-475, IFIP International Conference on Decision Support Systems 2016, Cork, Ireland, 22/06/16. https://doi.org/10.1080/12460125.2016.1187384

    Business Intelligence (BI) system evolution : a case in a healthcare institution. / Safwan, Ehsanur Rahman; Meredith, Rob; Burstein, Frada.

    Big Data, Better Decisions, Brighter Future: Proceedings of the 2016 Open Conference of the IFIP WG 8.3. ed. / David Sammon; Frada Burstein; Ciara Heavin; Gloria Philips-Wren; Frederic Adam; Ana Respicio. Abingdon UK : Taylor & Francis, 2016. p. 463-475 (Journal of Decision Systems; Vol. 25, No. S1).

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

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    Safwan ER, Meredith R, Burstein F. Business Intelligence (BI) system evolution: a case in a healthcare institution. In Sammon D, Burstein F, Heavin C, Philips-Wren G, Adam F, Respicio A, editors, Big Data, Better Decisions, Brighter Future: Proceedings of the 2016 Open Conference of the IFIP WG 8.3. Abingdon UK: Taylor & Francis. 2016. p. 463-475. (Journal of Decision Systems; S1). https://doi.org/10.1080/12460125.2016.1187384