Process mining provides the fact-based insights into the processes based on the data stored in the corporate its Systems.
The following is an example of an Invoice process where we can see the difference between the expected process as designed on the left and actual process being used on the right recreated from the system data.
The process mining requires three pieces of data for mining of any defined process.
Case Id: This is the key identification of the process that is defined and logged in the system of records. For example, if we are trying the mine the invoice process, the case id could be Invoice ID.
Activity Id: These are various activities rendered for a given case ID. For example, in the given Invoice process, it could be invoice creation, review and approvals.
Timestamp: The timestamps associated for each of the activity associated to a Case ID.
The following diagram provides logical flow of these ID’s are captured from event logs stored in the system of records and helps in creating actual process models.
Process models are created through process mining activity and depict the flow of actual process being used by the stakeholders in the organization.
Following are some of the benefits of Process models
The process models created out of mining activity offers wealth of information as articulated above. The following are important from RPA Automation adoption perspective:
Some of the leading Process mining solutions are Celonis (https://www.celonis.com/process-mining/what-is-process-mining) and UiPath Process mining (https://www.uipath.com/rpa/what-is-process-mining).