Process Mining
Analysing event logs from IT systems to discover, monitor, and improve business processes. Reveals how processes actually work versus how they're supposed to work.
In-Depth Explanation
Process mining uses data from IT systems to create an objective, data-driven view of business processes. It reveals what actually happens, not what people think happens.
Process mining techniques:
- Discovery: Create process models from event logs
- Conformance: Compare actual vs designed processes
- Enhancement: Identify improvement opportunities
What process mining reveals:
- Actual process flows and variants
- Bottlenecks and delays
- Rework and loops
- Compliance deviations
- Automation opportunities
- Process exceptions
Data requirements:
- Event logs with: Case ID, Activity, Timestamp
- Additional attributes improve analysis
- Common sources: ERP, CRM, ticketing systems
Leading platforms:
- Celonis, UiPath Process Mining, Minit
- Often integrated with automation platforms
Business Context
Process mining removes guesswork from process improvement. Companies discover 30-50% more process variants than documented, revealing hidden inefficiencies.
How Clever Ops Uses This
We use process mining to identify automation opportunities for Australian businesses, ensuring we automate the right processes based on data, not assumptions.
Example Use Case
"Mining SAP purchase order logs reveals that 40% of orders require manual intervention due to a data entry step - a clear automation target."