Process mining is a technique for discovering, monitoring, and improving processes. It’s an objective way to visualize how business processes work that enables end-to-end process optimization, uncovers automation potential, and delivers continuous process improvement.
The goal of process mining is to make business processes more transparent and efficient for better decision making and improved operational performance.
Process mining can be used in any industry—including healthcare, manufacturing, finance, and government—to optimize processes and ensure regulatory compliance. By combining data from sources across an organization, process mining generates insights that provide a more complete and accurate picture of how processes are actually being executed. These insights can then be used to make informed decisions and improvements to process design and execution.
Process inefficiency costs money, wastes time, diminishes work quality, and increases risk. With an objective view of how processes run, process mining can uncover bottlenecks and delays to save time and reduce costs.
Any business process in any industry can be mined, as long as it has sufficient data to support analysis. This includes:
Process mining works by analyzing event logs from enterprise systems to surface information about how digital work is happening. It creates a visualization of how processes are actually running, flagging deviations from the ideal process and opportunities for optimization.
Enroll in the free Appian University Process Mining course to learn more about process mining and how you can use it at your organization.
There are several process mining techniques—each focused on different aspects of defining and optimizing processes. The best process mining tool will combine all these capabilities to provide businesses with end-to-end process visibility and control.
Processes and data are at the core of every organization. With process mining, you can put your data to work strategically to achieve a high level of transparency in your processes and move quickly from insight to action.