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Sustainable business intelligence systems: Modelling for the future

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  • Roelien Goede

Abstract

Business intelligence systems are used in support of strategic decision‐making in organisations. Strategic decisions in support of the sustainable development goals require accurate and accessible data. Of equal importance is the sustainability of the business information systems themselves. Not only should they be sensitive to resource consumption but they should also be designed for the future needs of the organisation. We argue that sustainable business intelligence systems should represent as many perspectives in the organisation as possible supported by the available data. In order to achieve this, a critical (Kantian) systems perspective is suggested that foster appreciation of different perspectives in the organisation. Prevailing belief in the business intelligence system industry is that a key business problem should drive development of the system. Our position is more future oriented in that we argue that inclusion of all available perspectives on business problems will prolong the life of the system, thereby making it more sustainable. This is not an idealistic requirement when a data vault is used for the data model of the system. Contrary to the more common dimensional modelling, data vault modelling does not require restrictive decisions to be made on the scope of the system. In fact, the worst‐case scenario is addressed in the initial model. The paper provides a conceptual discussion of how a business intelligence system should be designed and developed to ensure that it is sustainable. Since the right system should be developed in the right way, we incorporate known success factors into our discussion. We argue that the critical (Kantian) systems perspective can lead to the right system and that data vault modelling in context of lessons from identified success factors is the right way to develop the business intelligence system.

Suggested Citation

  • Roelien Goede, 2021. "Sustainable business intelligence systems: Modelling for the future," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(5), pages 685-695, October.
    • Handle: RePEc:bla:srbeha:v:38:y:2021:i:5:p:685-695
    DOI: 10.1002/sres.2813
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    References listed on IDEAS

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    1. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    2. Carin Venter & Roelien Goede, 2017. "The Use of Critical Systems Heuristics to Surface and Reconcile Users' Conflicting Visions for a Business Intelligence System," Systemic Practice and Action Research, Springer, vol. 30(4), pages 407-432, August.
    3. Nils-Holger Schmidt & Koray Erek & Lutz M. Kolbe & Rüdiger Zarnekow, 2009. "Sustainable Information Systems Management," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(5), pages 400-402, October.
    4. Adilson Carlos Yoshikuni & Alberto Luiz Albertin, 2018. "Effects of strategic information systems on competitive strategy and performance," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 67(9), pages 2018-2045, November.
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    Cited by:

    1. Steffen Kurpiela & Frank Teuteberg, 2024. "Linking business analytics affordances to corporate strategic planning and decision making outcomes," Information Systems and e-Business Management, Springer, vol. 22(1), pages 33-60, March.
    2. Andrzej Pacana & Karolina Czerwińska, 2023. "A Quality Control Improvement Model That Takes into Account the Sustainability Concept and KPIs," Sustainability, MDPI, vol. 15(12), pages 1-21, June.

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