We have a number of Data Designers scheduled to run on a daily basis. In monitoring these DD runs, the actual start time can be several hours after the scheduled time based on processing delays and queuing. This causes issues for my end users because reports are not updated when needed. It also causes delays in CTA and SFDC Operations Request creation because of scheduled rules relying on the updated DD object data. I am testing the process to export the DD results to S3 with an S3 Event-Based Rule Chain to launch the rules but it is not in place yet.
Is there a way to analyze DD process time similar to the Rules Analyzer to identify which DDs are taking longer to process so we can modify the configuration for efficiencies or am I just missing the option in Analyzer?
If it is not in Analyzer, any suggestions for analyzing the results other than opening the Execution History for each DD?
