Which type of data is mainly utilized in Process Mining?

Process Mining primarily relies on event data because it captures the detailed actions taken within a business process and serves as the foundation for analysis. This data often includes timestamped records that reflect the sequence of activities performed, whether it's order processing, customer service interactions, or any other operational flows. By analyzing this event data, one can visualize the actual process paths, identify bottlenecks, and uncover discrepancies between intended and actual workflows.

Other types of data mentioned, such as customer feedback, sales performance, and market research data, provide valuable insights but do not capture the process execution details that event data does. These other data types can supplement the analysis by enabling a deeper understanding of customer experience and performance metrics, but they do not serve as the core input for Process Mining.