The metadata needed to monitor access, cost, and data quality already lives in Snowflake, scattered across raw schemas. The Governance Observability Accelerator models it with dbt and surfaces it through Sigma dashboards covering access, security, cost, usage, and data quality.
The stakes
Most Snowflake environments accumulate governance debt invisibly. Roles get added, grants expand, warehouses sit idle, costs creep, and queries fail in ways that only show up in raw metadata nobody is watching. Without modeling and visualization, governance teams operate on stale exports, manual queries, or after-the-fact audits. The signal exists. Acting on it requires turning the metadata into something a team can monitor day to day.
The build
Tested transformations against Snowflake's metadata schemas, modeled into analytics-ready tables and surfaced through interactive dashboards. Deployable from day one.
Role usage, privilege grant tracking, RBAC adherence, overprivileged account detection, and access pattern monitoring.
Warehouse utilization, credit consumption, query costs, idle resource identification, and spend trends across teams and environments.
Data freshness, pipeline execution status, load patterns, stale tables, and failed refreshes surfaced before they reach downstream consumers.
The dbt models and dashboards are designed to be tailored. The modeled data lives in Snowflake tables, so it's also accessible to any other tool in your stack.
Process
01
Governance priorities and current state assessment
02
Dashboard scoping and customization planning
03
dbt models and Sigma dashboards built, configured, and validated
04
Documentation and team handoff
Delivery
This accelerator is deployed as part of a Governance Blueprint or Governance Programs engagement.
FAQ
Yes. The modeled data lives in Snowflake tables and is accessible to any tool that connects to Snowflake, including BI platforms, governance tools, and catalogs.
Most deployments complete in one to two weeks, depending on customizations and the scope of metadata domains in play.
No. The accelerator reads from Snowflake's metadata schemas (ACCOUNT_USAGE, ACCESS_HISTORY, QUERY_HISTORY, and related) and builds an analytics layer on top of them. It doesn't modify how your environment is set up.is a specific set of pre-built assets that accelerate the observability component of that work, focusing specifically on monitoring, alerting, and visibility into governance posture.
Yes. The dbt models and Sigma dashboards are designed to be tailored, and the modeled data lives in Snowflake tables, so it's also accessible to any other tool in your stack.
You own the dbt models and dashboards. Most clients continue with us to extend the analytics layer as governance priorities evolve.