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

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Résumé

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.

langue originaleAnglais
titreResearch Challenges in Information Science
Sous-titre14th International Conference, RCIS 2020, Proceedings
rédacteurs en chefFabiano Dalpiaz, Jelena Zdravkovic, Pericles Loucopoulos
EditeurSpringer
Pages174-190
Nombre de pages17
ISBN (imprimé)9783030503154
Les DOIs
Etat de la publicationPublié - 1 janv. 2020
Evénement14th International Conference on Research Challenges in Information Sciences, RCIS 2020 - Limassol, Chypre
Durée: 23 sept. 202025 sept. 2020

Série de publications

NomLecture Notes in Business Information Processing
Volume385 LNBIP
ISSN (imprimé)1865-1348
ISSN (Electronique)1865-1356

Une conférence

Une conférence14th International Conference on Research Challenges in Information Sciences, RCIS 2020
PaysChypre
La villeLimassol
période23/09/2025/09/20

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