Review how validation rules are defined in DHIS2 to create internal and external consistency checks with your aggregate data.
Learn how DHIS2 calculates dataset completeness and timeliness metrics, configure reporting expectations, define timeliness rules, and mark data sets as complete.
Discover Data Element Completeness – a data quality indicator that helps you verify the completion status of individual data elements within a dataset.
Learn how to to mark a dataset as complete and visualize dataset completeness and timeliness in a pivot table using the Data Visualizer App.
Learn how to perform an ad-hoc data element completeness check for a specific dataset using the DHIS2 Data Visualizer, quickly identify reporting gaps, and get a clear overview of which data elements are entered most or least consistently.
