Process Mining & Optimization
See how your processes really run, then fix the bottlenecks.
Process Mining & Optimization reconstructs how your processes actually run from the event data already in your tables, then shows where reality deviates from the intended flow, so you can fix the bottlenecks with evidence instead of opinion.
- Designed vs real
- What it surfaces
- How it differs from Performance Analytics
- From insight to action
- Common mistakes
Process Mining & Optimization reconstructs how your processes actually run from the event data already in your tables, then shows where reality deviates from the intended flow, so you can fix the bottlenecks with evidence instead of opinion.
Designed vs real
Everyone believes their incident or request process follows the neat diagram. Process Mining reads the real timestamps, every state change on every record, and draws the real path: the loops, the reassignments, the steps that quietly take days.
What it surfaces
How it differs from Performance Analytics
From insight to action
The point is not the pretty flow diagram, it is the follow-through: feed the bottleneck into a flow to automate it, redesign the approval, or retrain the team. Process Mining is the diagnosis step of continuous improvement.
Common mistakes
- Analysing a process with poor timestamp data, garbage in, garbage out.
- Mining without a hypothesis, then drowning in variants.
- Finding bottlenecks and never feeding them into automation or redesign.