It matches the action log model defined in [here](https://github.com/amundsen-io/amundsenfrontendlibrary/blob/ccfd2d6b82957fef347e956b243e4048c191fc0d/amundsen_application/log/action_log_model.py).
Once you have the event in your data warehouse, you could start building different KPI user metric:
- WAU
- DAU
- Top 50 active user
- Top search term
- Top popular tables
- Search click index
- Metadata edits
- Metadata edit leaders
- Amundsen user per role (by joining with employee data)
- ...
1. WAU
2. DAU
3. Top 50 active user
4. Top search term
5. Top popular tables
6. Search click index
7. Metadata edits
8. Metadata edit leaders
9. Amundsen user per role (by joining with employee data)