What type of processes does process mining typically analyze?

Process mining is a technique that can analyze any structured business process, making it highly versatile across various industries and functions. This approach leverages event logs, which are typically generated by enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, and other software that handles business operations.

Structured business processes are defined as those that follow a set sequence of steps or activities that occur within a specific framework. Because process mining is designed to work with these event logs, it can extract relevant insights and patterns from the data, allowing organizations to visualize their processes, identify inefficiencies, and optimize performance.

This capability of process mining to universally apply to structured business processes distinguishes it from options that limit the analysis to specific domains, such as finance or manufacturing, or suggest analysis without data logs. In essence, the strength of process mining lies in its adaptability, enabling it to unveil insights across a wide range of business scenarios.