| Process mining software is a type of programming that analyzes data in enterprise application event logs in order to learn how business processes are actually working. Process mining software provides the transparency administrators need to identify bottlenecks and other areas of inefficiency so they can be improved. When the software is used to analyze the transaction or audit logs of a workflow management system, data visualization components in the software can show administrators what processes are running at any given time. Some process mining apps also allow users to drill down to view the individual documents associated with a process. If a process model doesn't already exist, the software will perform business process discovery to create one automatically, sometimes with the aid of artificial intelligence and machine learning. If there already is a model, the process mining software will compare it to the event log to identify discrepancies and their possible causes. Use cases Process mining software is especially useful for optimizing workflows in process-oriented disciplines such as business process reengineering (BPR). The technology is often applied to the most common and complex business processes executed in most organizations, such as order to cash, accounts payable and supply chain management. An organization might use process mining software to find the cause of unexpected delays in invoice processing, for example, by examining the logs of the accounts payable module in an ERP system. Process mining software can analyze millions of transaction records and spot deviations from normal workflows that might indicate increased risk. Analysis of an audit log can also spot deviations from important regulations, such as the U.S. Sarbanes-Oxley Act (SOX) rules for archiving business records or HIPAA requirements for protecting medical records.
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