The goal of process mining is to capture insights and take action. Process mining is a key capability in the suite of tools needed to transform a business through hyperautomation. It helps companies assess and improve their operational processes, increasing the ROI of the organization.
Process mining is a data-driven approach that comes from the fields of process management and data science. It is designed to help organizations discover, monitor, and improve business processes. It uses event logs, which are lists of activities with start and end time-stamps from IT systems. Event logs can include activities such as when an order is received, product delivered, customer contacted, payment made, and more. This data-driven approach provides insight into what people, systems, and organizations are actually doing, as opposed to what they think they’re doing. The insights help identify bottlenecks and compliance issues to improve. Artificial intelligence (AI) is increasingly being applied to process mining to extract greater insights.
Process mining is composed of several techniques, including:
Process mining is a complement to Business Process Management (BPM). The simplest way to think about it is that process mining provides the insight, and BPM provides the ability to act on that insight. When done together they take you from insight to action. This is why both process mining and BPM are considered critical capabilities in order for businesses to achieve hyperautomation.
Appian AI-driven process mining is coming.
With complete automation from Appian, you can discover, automate, monitor, and optimize any end-to-end business process, all on a single platform.