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New to process mining

If you have never done process mining, this track takes about an hour and assumes nothing. By the end you will have discovered a process model from real event data, read it, found the slowest step, and know what to do with a log of your own.

Most work leaves a trail. Every time someone approves an order, ships a parcel or closes a ticket, some system writes a row with a timestamp. Process mining takes those rows and reconstructs what the process actually looks like — not the flowchart somebody drew in a workshop, but the paths real cases took, including the loops, the rework and the shortcuts. You do not model the process; you discover it.

  1. What an event log is — three columns, and why they are enough.

  2. Your first process map — import the demo log and discover a model.

  3. Reading a discovered model — what the boxes, arrows and numbers mean, and which parts to distrust.

  4. Where the time goes — turning a map of what happens into a map of what it costs.

  5. Bringing your own data — the shape your export needs, and the three columns to look for.

If you want to go deeper into the algorithms — why one miner produces a different model from another, what “sound” means, how conformance is computed — the expert track picks up exactly there. If you would rather turn this into an analysis someone at work will act on, go to the practitioner track.