Main features of Primeur Data Watcher

Dataflow models have recognition criteria that are used to match dataflow instances at runtime. They can be enriched with additional metadata, cut-off definitions, and notifications.

Cut-offs monitor if flows are completed within a pre-defined time frame. They are available exclusively for modeled flows. Cut-offs can be set both at dataflow and at node level.

Matching criteria are rules applied to monitored flows to transform them into dataflows. Multiple matching criteria can be defined and each group of criteria can be applied to a specific node.

Monitor and search for specific dataflows within the system, locating and managing them efficiently.

Dataflow attributes are custom metadata that help organize flows within Data Watcher.

When modeling a flow, notifications can be sent to users upon occurrence of a particular event.