logfood-querier

You can query Databricks consumption data by using this Skill to execute SQL against internal GTM datasets. It leverages the databricks-query skill and schema references to retrieve account-specific DBU consumption and feature usage metrics without direct database access.

Yes, you can analyze Salesforce and GTM data without direct database access. This Skill queries internal Databricks datasets via SQL to surface account details, sales metrics, and feature adoption patterns directly through the platform interface.

Yes, access to Databricks SQL warehouses is required to retrieve internal feature usage metrics. This Skill depends on an active SQL warehouse connection to execute queries and return consumption and account analysis results.

The best way to find accounts with declining DBU consumption is to query internal Databricks data using SQL. This Skill analyzes historical consumption patterns and feature usage metrics to identify downward usage trends across specific customer accounts.

Limitations when querying internal Databricks data include a strict dependency on Databricks SQL warehouses for retrieval. The Skill is constrained to the schema definitions in GTM_DATA and cannot access data outside the referenced internal datasets.