Over the last years, the process mining domain developed a tendency for path-dependent behavior that circled around the utilization of event logs and directly-follows graphs, which limited the possibilities to analyze process data more holistically from multiple perspectives. Causal references and object-relations of the underlying source data have only recently come into focus of process mining research. Therefore, we argue that it is necessary to provide alternatives to the classic event-log-based approaches to make process mining ready for the next evolutionary stage in the era of Big Data and the application in an organizational context.
The S-Curve Pattern of innovation illustrates that we are currently at the beginning of a new wave of innovation that departs from classical approaches in process mining. We at Noreja want to be part of this movement with our Causal Process Mining approach based on Causal Event Graphs stored in graph databases.
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