Visual Analytics in Process Mining for Supporting Business Process Improvement

The increasing amounts of data have affected conceptual modeling as a research field. In this context, process mining involves set techniques aimed at extracting schema from an event log generated during execution. While automatic algorithms for and analysis are needed to filter out irrelevant produce preliminary results, visual inspection, domain knowledge, human judgment creativity proper interpretation the results. Moreover, discovery on usually results in complicated models not easily comprehensible by business user. To end, analytics has potential enhance towards direction explainability, interpretability trustworthiness order better support decisions. paper we propose approach identifying bottlenecks processes analyzing logs visualizing way, exploit context provide explainable interpretable without exposing user complex that comprehensible. proposed was applied manufacturing show is capable other performance-related issues them intuitive non-intrusive way.