| Autor: |
Burnay, Corentin, Bouraga, Sarah, Faulkner, Stéphane, Jureta, Ivan |
| Přispěvatelé: |
Dalpiaz, Fabiano, Zdravkovic, Jelena, Loucopoulos, Pericles |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
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 F Dalpiaz, J Zdravkovic & P Loucopoulos (eds), Research Challenges in Information Science : 14th International Conference, RCIS 2020, Proceedings . Lecture Notes in Business Information Processing, vol. 385 LNBIP, Springer, pp. 174-190, 14th International Conference on Research Challenges in Information Sciences, RCIS 2020, Limassol, Cyprus, 23/09/20 . https://doi.org/10.1007/978-3-030-50316-1_11 |
| DOI: |
10.1007/978-3-030-50316-1_11 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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