What type of metrics are usually involved in data aggregation queries?

Data aggregation queries typically involve operational and performance metrics because these metrics are designed to provide quantifiable insights into how processes are functioning. Operational metrics reflect aspects like efficiency, cycle time, and throughput, which are critical for analyzing and improving business processes. Performance metrics, on the other hand, provide insights into the effectiveness of these processes, measuring how well goals and objectives are being met.

Using these kinds of metrics allows organizations to make data-driven decisions and optimize their operations. Aggregating data also helps in identifying trends over time, which is essential for monitoring progress and performance within operational contexts. In comparison, the other types of metrics listed either do not focus specifically on the operational aspects (like customer satisfaction metrics) or are too narrow in scope (financial metrics only), limiting the comprehensive analysis needed for effective process mining.