Abstract

 This article dedicates to the process of data visualization. In complex production systems, visualizations are essential to support explorative data analysis and the communication of findings. Quite often, the results of data analyses are static KPIs or visualizations that can only be adapted by extensive preprocessing. This usually requires specific knowledge of software tools that only a few employees have, which hinders an easy adaptation by stakeholders or even a reasonable subsequent use. A new approach called Visual Analytics pretends to overcome the mentioned issues through interactive visualizations combined with automated algorithms.