Process Mining
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Process mining turns event logs into a picture of what actually happens in your process: every case, every activity, every timestamp. Instead of interviewing people or reading specifications, you start from data. This menu covers the mining step itself — running an analysis, and what you need before you start.
These guides are for process mining analysts, data analysts, and improvement teams who want to know what really happens. Mining requires a Process Intelligence seat. If your event log is not ready yet, start with Process Mining Data to prepare it, then come back.
What You’ll Learn
- Process Mining: run your first analysis and explore the model ProcessMind discovers from your event log.
- What data you need for process mining: the three columns every event log needs, and which extra columns add context.
Once you have a mined process, these menus take over:
- Process Graph: read the discovered flow — activities, connections, bottlenecks, and animation.
- Process Analytics: measure process health, compare variants, check conformance, and filter down to the cases that matter.
- Process Dashboards: the charts and metrics behind the numbers.
Where to Start
- New to ProcessMind: the Intelligence Path goes from your first dataset to mining, health scoring, and simulation.
- Data ready: run your first analysis with Process Mining.
- No data yet: Process Mining Data covers sourcing, formats, and cleaning.
To test improvements before you make them, see Process Simulation. To build the models your analysis compares against, see Process Modeling.
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