- 30 May 2025
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Process Mining Requirements
- Updated on 30 May 2025
- 1 Minute to read
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- DarkLight
Overview
This article serves as a walk-through of the requirements necessary for utilizing Process Mining.
Process Mining Installation Requirements
Process Mining is only compatible with Decisions v8.5 and higher and requires a Windows machine or Windows server. It is recommended that both Process Mining and Decisions are operating on the latest version for optimal compatibility.
Process Data Requirements
Process data must track at least the following data variables in the Event Log:
Data Member | Description | Example |
---|---|---|
Case ID | A unique ID is shared among the events within the same process but distinguishes different process executions from one another: the "who" behind the execution. | AccountID, LoanID, Name, any other identifiable information |
Activity | Steps within the process must share the same names, not necessarily sequence, between all executions. This distinguishes between events within the same execution, the "what" and "how" behind the execution. | Inspect Damage, Obtaining Approval, Register Claim, and any other workflows within a process, such as Subflows with a parent Flow |
Timestamp | Records the occurrence of each event within an execution. This is necessary to chronologically order the events within execution and compute durations between process steps. While only the start timestamp is necessary, including an end timestamp allows computing process step duration, the "when" behind the execution. | Date/time of occurrence |
In addition to these required data members, the following are optional, supplementary data variables to further define and refine your optimization:
- Resource
- Lifecycle
- Case Attribute
Data Structure Requirements
Process Mining accepts external data from other software, such as Jira, Salesforce, and ServiceNow, and internal data.
Process Mining requires its supported Data Structures to enable the Enable Process Mining setting located in the Data Structure creation dialog to access the associated features.
The following Data Structures support Process Mining features: