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User-Experience in Business Intelligence - A Quality Construct and Model to Design Supportive BI Dashboards

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Research Challenges in Information Science (RCIS 2020)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 385))

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Abstract

Business Intelligence (BI) intends to provide business managers with timely information about their company. Considerable research effort has been devoted to the modeling and specification of BI systems, with the objective to improve the quality of resulting BI output and decrease the risk of BI projects failure. In this paper, we focus on the specification and modeling of one component of the BI architecture: the dashboards. These are the interface between the whole BI system and end-users, and received smaller attention from the scientific community. We report preliminary results from an Action-Research project conducted since February 2019 with three Belgian companies. Our contribution is threefold: (i) we introduce BIXM, an extension of the existing Business Intelligence Model (BIM) that accounts for BI user-experience aspects, (ii) we propose a quality framework for BI dashboards and (iii) we review existing BI modeling notations and map them to our quality framework as a way to identify existing gaps in the literature.

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Author information

Authors and Affiliations

  1. Department of Business Administration, PReCISE Research Center, NaDI Research Institute, University of Namur, Namur, Belgium

    Corentin Burnay, Sarah Bouraga, Stéphane Faulkner & Ivan Jureta

  2. Fonds National de la Recherche Scientifique (FNRS), Brussels, Belgium

    Ivan Jureta

Authors
  1. Corentin Burnay
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  2. Sarah Bouraga
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  3. Stéphane Faulkner
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  4. Ivan Jureta
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Corresponding author

Correspondence to Corentin Burnay .

Editor information

Editors and Affiliations

  1. Utrecht University, Utrecht, The Netherlands

    Fabiano Dalpiaz

  2. Stockholm University, Kista, Sweden

    Jelena Zdravkovic

  3. The Institute of Digital Innovation and Research, Dublin, Ireland

    Pericles Loucopoulos

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Burnay, C., Bouraga, S., Faulkner, S., Jureta, I. (2020). User-Experience in Business Intelligence - A Quality Construct and Model to Design Supportive BI Dashboards. In: Dalpiaz, F., Zdravkovic, J., Loucopoulos, P. (eds) Research Challenges in Information Science. RCIS 2020. Lecture Notes in Business Information Processing, vol 385. Springer, Cham. https://doi.org/10.1007/978-3-030-50316-1_11

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  • DOI: https://doi.org/10.1007/978-3-030-50316-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50315-4

  • Online ISBN: 978-3-030-50316-1

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