Khakpour, A.Vázquez-Ingelmo, A.Colomo-Palacios, R.García-Peñalvo, F. J.Martini, A.2024-03-292024-03-292024-03-29Khakpour, A., Vázquez-Ingelmo, A., Colomo-Palacios, R., García-Peñalvo, F. J., & Martini, A. (2024). ModelViz: A Model-Driven Engineering Approach for Visual Analytics System Design. IEEE Access, 12, 42667 - 42682. https://doi.org/10.1109/ACCESS.2024.33792682169-3536http://repositorio.grial.eu/handle/grial/3071Visual analytics systems should be able to consolidate data from disparate sources, conduct exploratory analysis, create visualizations that suit different users, and integrate seamlessly with decision-making activities to support data-driven decision-making. However, current mainstream visual analytics solutions often lack support for all these requirements. To address this gap, we propose the use of model-driven engineering to design visual analytics systems. To demonstrate the feasibility of this approach, we developed a Domain-Specific Modeling Language (DSML) named ModelViz to design visual analytics systems for consumer goods supply chain applications. Furthermore, we present the work of our DSML, using data from a manufacturing company as a case study. Finally, we evaluated ModelViz quantitatively by comparing it with other similar works from the literature. Our results demonstrate that this approach meets the requirements and provides a promising direction for designing visual analytics systems by considering domain-specific aspects to help achieve business goals.enSupply chain managementVisual analyticsData visualizationTask analysisBusinessDSLAnalytical modelsSystem analysis and designDecision support systemsDomain specific languagesModel driven engineeringArticle