How can I audit our Looker and Tableau Server environments to identify unused dashboard reports and automate their deprecation without breaking scheduled email distributions?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can I audit our Looker and Tableau Server environments to identify unused dashboard reports and automate their deprecation without breaking scheduled email distributions?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Looker API scheduled_plans dashboard activity System Activity dashboards history official documentation Google ↗
Tableau Server Admin Views traffic to views subscriptions schedules REST API official documentation Google ↗
- Subscriptions Methods · help.tableau.com
- Scheduled Plans for Dashboard | Looker | Google Cloud Documentation · docs.cloud.google.com
- Monitoring Looker usage with System Activity Explores | Google Cloud Documentation · docs.cloud.google.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Looker API scheduled_plans dashboard activity System Activity dashboards history official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Tableau Server Admin Views traffic to views subscriptions schedules REST API official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |