https://docs.oracle.com/en/cloud/paas/process-cloud/user/defining-process-start-and-end.html#GUID-E3E20D7C-D135-419C-8750-F8D9147590D8

https://docs.oracle.com/en/cloud/paas/iot-cloud/iotgs/understanding-analytics-processors.html he type of analytics processor to use depends on the nature of your data:
* Streaming Analytics Processors
Use streaming analytics processors to analyze high volumes of rapidly changing data streamed from your sensors and devices. Streaming analytics processors are continuously running from the moment you deploy them, waiting for your devices to stream data.
See Creating Streaming Analytics Processors.
* Batch Analytics Processors
Use batch analytics processors to analyze large volumes of batch data. Typically, batch analytics processors process data stored in the Oracle NoSQL or other data sources. Unlike streaming analytics processors they are not continuously running, they only run when you call them using the REST API they expose.

Reference:
https://docs.oracle.com/en/cloud/paas/process-cloud/user/creating-if-then-rule-business-rules.html
https://docs.oracle.com/en/cloud/paas/process-cloud/user/creating-decision-table-business-rules.html#GUID-26D3DF2A-D6D8-404F-834D-EE512E787630 Creating a Decision Table in Business Rules A decision table organizes if/then rules into a spreadsheet-like format, in which rows represent conditions and actions, and columns match condition values to action alternatives.