Process Mining Requirements
  • 05 Jan 2023
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Process Mining Requirements

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To install Process Mining, contact support@decisions.com

Overview

Users must have an Enterprise license to utilize all Process Mining features, and Decisions Version 8.5+ must be installed.


Process Data Requirements

Process data must track at least the following three data variables in their event log:

Data MemberDescriptionExample
Case IDA 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
ActivitySteps 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
TimestampRecords occurrence of each event within an execution occurs. 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 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 its features.

The following Data Structures support Process Miner features:

Need to transfer data from a different data structure into one that supports Process Mining?
Please refer to the Importing and Exporting Data From Data Structures article for a step-by-step explanation.


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