Process mining is a data analysis approach used to do what?

Process mining is a data analysis approach used to do what?

• A. Evaluate customer satisfaction.
• B. Identify the steps and timing of processes by analyzing event data.
• C. Assess market risk exposure.
• D. Predict future stock prices.

Answer: (B)

Process mining focuses on uncovering how a business process actually unfolds by analyzing event data recorded in information systems. By examining logs that capture each step of a process with timestamps, it can map the exact sequence of activities, when they occur, and how long each step takes. This highlights bottlenecks, delays, and deviations from the intended process, giving a clear view of the real workflow. Because of that, it’s the best fit for identifying the steps and timing of processes through data. The other options involve measuring satisfaction, assessing external financial risk, or predicting stock prices, which rely on different data sources and methods beyond process mining.

Process mining focuses on uncovering how a business process actually unfolds by analyzing event data recorded in information systems. By examining logs that capture each step of a process with timestamps, it can map the exact sequence of activities, when they occur, and how long each step takes. This highlights bottlenecks, delays, and deviations from the intended process, giving a clear view of the real workflow. Because of that, it’s the best fit for identifying the steps and timing of processes through data. The other options involve measuring satisfaction, assessing external financial risk, or predicting stock prices, which rely on different data sources and methods beyond process mining.