

To filter desktop flows from all other kinds of flows, you need to use column category and get all rows with value equal 6.

In fact, there are only two real tables above. The below structure is used actually to store information about all kinds of flows user is able to build using Power Automate: cloud flows, business flows and desktop flows: It’s worth to spend some time to build your tailored dashboards. The departments require RPA designers to deliver these information, so that they know what bots are actually doing, why they are failing, where are bottlenecks, where they run etc. The described below functionalities regarding visualizing data from flows’ runs, presenting statistics and in-depth insights is a highly demanded data requested by the business and IT. Or as called today: desktop flows and cloud flows built using Power Automate platform.

This post is totally focused on description of the Dataverse structure that is used to store details about runs of all Power Automate Desktop ui flows.
