Data collected from many parts of the enterprise infrastructure is fed into the Optimize environment and stored. KPIs that represent information vital to the business are defined and applied to the data. These KPIs are analyzed in real time in order to learn normal behavior and detect abnormal behavior within the environment. Rules are applied to these KPIs and their analyses in order to define conditions that represent problems and opportunities. Violations of these rules can be reported to the appropriate people and automated corrective actions can be taken. Further detail can be provided about a particular violation to determine the true root cause of the situation. Optimize also allows you to correlate information from disparate parts of the enterprise, such as the system and infrastructure, business processes and business data, and services. In addition, it provides analytic mashups, which are graphical overlays of correlated data such as business process information overlaid with real-time statistics.

Optimize collects data from other webMethods applications, through the Infrastructure Data Collector, or through the Web Service Data Collector. The following diagram illustrates how Optimize collects, defines, stores, and analyzes data.