Conformance Checking and Performance Analysis Using Object-Centric Directly-Follows Graphs

Traditional process mining often simplifies the multi-object reality of business processes, linking each event to a single object called “the case”. This oversimplification may lead to inaccurate analyses, caused by missing interactions between object types. In contrast, object-centric process mining permits events to be tied to multiple objects, capturing complex interactions and providing a more accurate representation of business processes. This paper introduces an approach for supporting object-centric process mining utilizing Object-Centric Directly-Follows Graphs (OC-DFGs). Despite their advantages, e.g., simplicity, OC-DFGs have been relatively untapped for essential process mining tasks, such as conformance checking and performance analysis. In order to address this, our research presents a comprehensive approach for OC-DFG-based conformance checking and performance analysis. We fully implement the proposed approach as a web application and demonstrate the use of OC-DFGs for these tasks within a case study of a real-life loan application process.