What is the purpose of filtering event logs in process mining?

The purpose of filtering event logs in process mining is primarily to focus analysis on specific data segments. Filtering allows practitioners to hone in on particular aspects of the process, such as specific events, timeframes, or subprocesses that are of interest. By narrowing down the data set, analysts can gain more precise insights and understand the performance, issues, and opportunities within those targeted segments. This focused approach leads to more actionable findings and is essential for effective process improvement strategies.

In this context, enhancing visual aesthetics of data does not contribute to analytical rigor, and ensuring accuracy of data collection is a preliminary step that takes place before filtering but is not the main objective of filtering itself. Increasing data volume for analysis is counterproductive to the purpose of filtering, which aims to reduce and clarify information rather than clutter it with unnecessary data.