What enables organizations to detect deviations from predefined models in processes?

Conformance Checking is the method that allows organizations to identify discrepancies between actual process executions and predefined models. It involves comparing the observed behavior of a process, as recorded in event logs, against a defined model that outlines the ideal or expected flow of the process. This analysis highlights any deviations, whether they are minor inconsistencies or significant variations, allowing organizations to understand where their processes are not aligned with the intended design.

By employing conformance checking, organizations can ensure that their processes are running as expected, thereby enhancing overall efficiency and effectiveness. This capability is critical for compliance, quality control, and continuous improvement initiatives, as it provides the insights needed to make informed decisions regarding process adjustments and optimizations.

The other options, while valuable in their respective contexts, do not specifically focus on detecting deviations from models. Performance Benchmarking compares performance metrics against industry standards, Root Cause Analysis looks into the underlying reasons for issues, and Event Logging entails recording process data without inherently analyzing it against a model.