Microsoft 365 Roadmap
Most systems of record have data stored in data structures that allow you to easily extract information about the analyzed entity (case-level data) and historical changes on those entities (event-level data). The attributes are also stored in a normalized form. The single-table approach to event log creation requires you to do inefficient transformations. With this feature, Power Automate Process Mining supports the case-event entity-based data structure plus a normalized form of attributes. This speeds up the ingestion process in both the transformation and import to process model phases and reduces the storage capacity needed.