Databricks Marketplace package

AI/BI Readiness Scanner for Databricks

A customer-contained scanner that helps Databricks teams find metric conflicts, risky Genie domains, shadow dependencies, and repeated query patterns before scaling AI/BI.

Runs in the customer workspace

Scanner-lite notebooks run inside the customer's Databricks workspace and write diagnostic outputs to a customer-owned Unity Catalog schema.

No production mutation

The scanner is read-only against operational metadata and does not modify jobs, warehouses, dashboards, tables, permissions, or production data.

Evidence-backed findings

Findings include confidence labels and supporting telemetry so platform, audit, and BI teams can validate them before taking action.

What It Finds

  • Repeated SQL and dashboard intent that suggests missing metric views or data products.
  • Candidate metric conflicts across dashboards, aliases, and SQL expressions.
  • Shadow or sandbox assets used by recurring business workflows.
  • Risky Genie or AI/BI domains where definitions, ownership, or freshness are weak.
  • Dashboard dependency hot spots and repeated computation patterns.
  • Transformation backlog items for CDO, platform, consulting, and audit teams.

Marketplace Readiness Statement

The free scanner-lite package does not send query history, lineage, table names, user activity, or business metadata to Brickcost or any external service. Optional enterprise deployments may support customer-contained Databricks App mode or SaaS-assisted inference only with explicit customer approval.

Documents