e1Tech Activity Engine is the foundation of the e1Tech BAM solution. The engine monitors business events-such as new orders, customer service calls, inventory replenishing, etc.-and integrates those events with contextual data from data warehouses or operational systems in real time. The engine combines the information into dynamic business views that automatically update as events happen.

Unique, Time-series Processing
The models built on top of these views can include both current information as well as temporal, or time-series, based collections of data that allow you to spot real trends over time, not just momentary spikes in activity.

And, because Activity Engine operates in real time, it continuously integrates and aggregates new business events as they occur, immediately updating data models and applying business rules to the new information.

Alerts with Comprehensive Metrics
When Activity Engine finds an exception to a business rule, it sends an alert to pre-specified personnel. Alerts can be simple messages indicating that an event occurred. Or, they can be quite detailed, including 'reportlets' with historical comparison data or information from related operational systems that put the event into context.

The information in a reportlet can also help a recipient take action. For example, an alert notifying a manufacturing manager about a quality problem in a production cycle might include a list of other suppliers that can provide the needed parts.

e1Tech Activity Engine can send alerts to the e1Tech Operational Dashboard, email, portals or other devices such as a pager or cell phone. Alerts can also be sent to applications, integrating e1Tech's solution with business process management (BPM) and other workflow solutions. This enables events captured by Activity Engine to automatically trigger action to resolve exception conditions or business problems. For example, alerts can be configured to place a supply order if inventory levels run too low for a pre-determined period of time, or stop shipment of a product if online fraud has been detected.