Capture events from the UI and server side events. Store the events. Process and filter the data. Charts and tables to display analytics results.

Configured Jitsu for analytics capture and hooked in UI components for various interactions such as video played 10%, link clicks, inbound/outbound traffic and more.

Used DBT to manage complex SQL queries to enrich data with session information and metric extraction into final daily windowed chunks.

Created tables and charts with date range that aggregated the days from the previous steps into results and trends compared to previous dates.

Testing the results of the analytics was tricky. Breaking each step down during the pipeline and the testing makes sure all the components are working correctly. For example ensuring the event data is captured correctly, then data tests to ensure the analytics data is within expectations.