Process Mining is a widely used technology to model, analyze, and optimize business processes. In the age of digital automation, Process Mining is an essential component for organizations wanting to gain a competitive edge in their digital transformation journey.
Process Mining extracts the events associated with a process and provides an x-ray visualization into how a process is functioning. This enables the rapid detection of performance problems, compliance issues, and opportunities for automation in your Jira workflows and associated processes.
Appying Process Mining to Jira, the events processed are contained in the issue history, including changes related to status, assignee, group, priority, etc. To see how this works, let’s look at a typical workflow confirmation in Jira, workflows representing the activities in a process. Here’s a workflow for Incidents;
When Process Mining is applied to the actual resolution of incidents associated with the Incident workflow, the reality of a workflow, as seen below, is very different. The same can be said for all Jira issue types including Epics, Stories, Bugs, Service Requests, Changes, etc.
The visualizations and analytics provided by Process Mining focus on Variants, Activities and Steps:
By generating detailed data and analytics on the different Variants, Activities and Steps involved in issue resolution, just some of benefits of Process Mining include:
The Process Optimizer for Jira application brings enterprise Process Mining capabilities to Jira, along with advanced Time in Status (Activity), automatic detection of workflow problems and improvement opportunities and recommendations on how to fix your processes and workflows. Drive productivity and efficiency within your organization by adopting the leading technology involved in digital automation – Process Mining.
Metricus
Data Scientist and Software Engineer
Metricus
Sydney, Australia
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