CEP rules

Complex event processing pattern detection (CEP) rules look for complex patterns in data that typically span a sequence of business events over time. A common use for CEP rules is to detect anomalies, which involves looking for an event which is an outlier to a trend among similar events.

CEP rule attributes include:

Dimension: A list of business object attributes. A unique KPI is calculated for every unique value of each dimension.
Pattern: A compound predicate that defines in a logical form the events, attributes, and values to observe to match the complex event. Patterns might specify a window of time in which to make the observation.
thenOutput: At a minimum, the output includes a result alias which is a label. The result label indicates the rule fired, that is, it matched a complex event. It might include values from a business object or event for further context.