Feature Spotlight: Android Analytics
Learn how Android Analytics turns locally stored DHIS2 data into offline charts, tables, and line listings that support faster decisions during data entry and fieldwork.
Jump to a section on this page
Webinar recording
Session outline
In this webinar, you will learn how Android Analytics uses the device’s local database to provide instant, fully offline insights during data entry. You will explore the three main analytics types: tracked entity instance analytics, Data Visualizer charts and tables, and event visualizations created in the Line Listing app.
You will learn how to configure and assign analytics through the Android Settings Web App, use relative periods and organisation units, and apply filters, tabs, searches, and table controls on the device. The session will also cover important limitations, including supported layouts and table-size restrictions, as well as common configuration problems involving sharing permissions, user access, and unsupported metadata. You will also learn how administrators can manage analytics settings safely and avoid overwriting concurrent changes.In this webinar, you will learn how Android Analytics uses the device’s local database to provide instant, fully offline insights during data entry. You will explore the three main analytics types: tracked entity instance analytics, Data Visualizer charts and tables, and event visualizations created in the Line Listing app.
You will learn how to configure and assign analytics through the Android Settings Web App, use relative periods and organisation units, and apply filters, tabs, searches, and table controls on the device. The session will also cover important limitations, including supported layouts and table-size restrictions, as well as common configuration problems involving sharing permissions, user access, and unsupported metadata. You will also learn how administrators can manage analytics settings safely and avoid overwriting concurrent changes.
