Describe a time you built a complex Tableau dashboard from scratch; how did you ensure the end-user could derive actionable insights from it?
Using the supplied Tableau dashboard data, write a SQL query that identifies dashboards with sufficient usage but an actionable insight rate below 50%.
dashboard_id, dashboard_name, owner_team, total_views, actionable_views, action_rate, and latest_view_date.action_rate ascending, total_views descending, and dashboard_id ascending.| Column | Type | Description |
|---|---|---|
| dashboard_idPK | INT | Unique dashboard identifier |
| dashboard_name | VARCHAR(120) | Published Tableau dashboard name |
| owner_team | VARCHAR(80) | Team responsible for the dashboard |
| Column | Type | Description |
|---|---|---|
| session_idPK | INT | Unique dashboard viewing session |
| dashboard_id | INT | Dashboard viewed during the session |
| user_id | VARCHAR(40) | Identifier for the dashboard viewer |
| viewed_at | DATE | Date of the dashboard view |
| insight_action | BOOLEAN | Whether the viewer performed a tracked insight action |
| action_type | VARCHAR(40) | Type of tracked action, when applicable |