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Designing Business Analytics Solutions

Author

Listed:
  • Soroosh Nalchigar

    (University of Toronto)

  • Eric Yu

    (University of Toronto)

Abstract

The design and development of data analytics systems, as a new type of information systems, has proven to be complicated and challenging. Model based approaches from information systems engineering can potentially provide methods, techniques, and tools for facilitating and supporting such processes. The contribution of this paper is twofold. Firstly, it introduces a conceptual modeling framework for the design and development of advanced analytics systems. It illustrates the framework through a case and provides a sample methodological approach for using the framework. The paper demonstrates potential benefits of the framework for requirements elicitation, clarification, and design of analytical solutions. Secondly, the paper presents some observations and lessons learned from an application of the framework by an experienced practitioner not involved in the original development of the framework. The findings were then used to develop a set of guidelines for enhancing the understandability and effective usage of the framework.

Suggested Citation

  • Soroosh Nalchigar & Eric Yu, 2020. "Designing Business Analytics Solutions," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(1), pages 61-75, February.
    • Handle: RePEc:spr:binfse:v:62:y:2020:i:1:d:10.1007_s12599-018-0555-z
    DOI: 10.1007/s12599-018-0555-z
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    References listed on IDEAS

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    1. Ritu Agarwal & Vasant Dhar, 2014. "Editorial —Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research," Information Systems Research, INFORMS, vol. 25(3), pages 443-448, September.
    2. Martin Bichler & Armin Heinzl & Wil M. P. Aalst, 2017. "Business Analytics and Data Science: Once Again?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(2), pages 77-79, April.
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    Cited by:

    1. João Barata & Paulo Rupino Cunha & António Dias Figueiredo, 2023. "Self-reporting Limitations in Information Systems Design Science Research," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(2), pages 143-160, April.
    2. Manon G. Guillemette & Sylvie Frechette & Alexandre Moïse, 2021. "Comparing Requirements Analysis Techniques in Business Intelligence and Transactional Contexts: A Qualitative Exploratory Study," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 12(2), pages 1-25, July.

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