Process Mining Software

Process mining uses event-log data to reconstruct how cases move through a process. Rather than relying only on interviews or a process diagram, you can examine recorded activity, compare variants, and see where work takes longer or departs from the expected path.

Process mining software can help you investigate:

Process flows: the sequence of activities recorded for each case. Variants: the different paths cases take through the process. Bottlenecks and cycle time: where cases wait or take longer to complete. Conformance gaps: where actual behavior differs from a BPMN model. KPIs: measures that help you compare process performance.

Use these findings to decide what to investigate or improve. Process mining measures and models work; it does not execute or automate it.

You do not need a connector or data project to get started. Begin with a CSV or Excel export that includes a case ID, activity, and timestamp for each event. A data template can help you identify and prepare the fields your analysis needs.

Not sure what to export? Read the event-log guide. It explains the structure of an event log and what to check before uploading. For a practical checklist of the data your first project needs, see what you need to run process mining.

Check supported data formats

A process map can be hard to interpret when it shows every path at once. Filter by variant, time period, or performance in ProcessMind to focus on the cases relevant to your question. Compare selected flows to see where they diverge, rather than treating every variation as equally important.

The Clarity Engine helps make complex process maps easier to read. You can also review how to analyze your process for a practical approach to investigating bottlenecks and variants.

Start with the process map and its performance measures. Compare cycle time across variants, then filter cases to see which activities or paths are linked to longer completion times. This helps you focus your investigation on specific parts of the process instead of relying on averages alone.

For more detail, see the process variants documentation and explore dashboards and KPIs to monitor process performance.

Conformance checking compares event-log behavior with a process model, such as a BPMN diagram. It shows where cases take a different path from the one described by your model. Investigate those cases to understand the deviation and decide whether the model, the process, or both need attention.

Read the conformance checking documentation

Data templates give you a practical starting point for preparing process data. They help you identify the fields your analysis needs and organize an export into a usable event log. They do not replace an out-of-the-box connector: you bring an export from your system and prepare it for analysis.

To understand the data requirements before choosing an export, start with the event-log guide.

When comparing process mining tools, check how each handles data preparation, process discovery, variant analysis, conformance checking, and performance measures. Also consider how quickly you can test a tool with your own data and whether you can export your findings and models.

ProcessMind is designed to help you run a first analysis from an event-log export. Upload a CSV or Excel file, explore the resulting process map, and see whether the analysis answers your question before planning a larger project.

Choose a process and find an export with a case ID, activity, and timestamp. Upload it, review the data mapping, and explore the process flow. Then filter the map to investigate a specific variant, bottleneck, or conformance gap.

For guidance before uploading, read what data a first project needs. When you are ready, upload an export to see your process.

See the dashboards that follow