Organizations use process mining techniques to analyze event data recorded by their information systems. Multi-perspective process mining techniques make use of data attributes attached to events to analyze processes from multiple perspectives. Applying those multi-perspective process mining techniques in practice is a laborious task when the event data contains a large number of attributes and many different trace variants. Tools that facilitate the usage of these techniques in practical

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... gs are missing. We describe the Multi-perspective Process Explorer as a new tool that integrates current multi-perspective process mining techniques for discovery and conformance checking. It supports common tasks in multi-perspective process mining, and aims to reduce the time needed to explore event data.