What are the three main process mining techniques?

The three main process mining techniques are: Discovery: This technique is used to create a visual representation of a process by mapping the flow of activities and events from the data. The goal of process discovery is to provide organizations with a comprehensive understanding of their processes, including how they are executed, who performs the activities, and how long they take. Conformance checking: This technique is used to compare the actual process execution to a predefined process model to identify deviations and non-compliance. The goal of conformance checking is to ensure that processes are executed as intended and to identify areas for improvement. Enhancement: This technique is used to improve existing processes by optimizing the flow of activities, reducing process duration, and increasing process efficiency. The goal of process enhancement is to drive business success by improving process performance and reducing costs. Each of these techniques has its own unique set of tools and methods, and they can be used in combination to achieve different goals. For example, process discovery can be used to provide a baseline understanding of a process, while conformance checking can be used to identify areas for improvement and enhancement can be used to drive process optimization. Overall, process mining techniques provide organizations with a powerful set of tools for process improvement and optimization, and they can be used to achieve a wide range of goals, including improving process efficiency, reducing costs, and increasing compliance.