Warehouse visibility
Map warehouse tables and columns so teams can see where identifiers, contact fields, and derived customer records appear.
Find where customer data lives in the warehouse.
Chameleon helps data and compliance teams maintain a registry of customer data by mapping BigQuery tables and columns, connecting policy context, and showing where deletion work needs to reach.
Registry context
Keep PII location, owner, deletion strategy, and policy status together instead of spreading privacy context across tickets and docs.
Audit readiness
Give compliance reviewers a concrete registry surface before a deletion request or privacy audit becomes urgent.
01 / Connect
Start from BigQuery assets and dbt context that describe the tables and models in scope.
02 / Map
Build a registry of tables, columns, PII classifications, owners, and deletion strategies.
03 / Review
Surface policy status and fields that require registration, cleanup, or manual review.
04 / Prove
Use the registry as the source of truth when deletion work needs evidence across connected systems.
resource: chameleon_dev.stg_users
columns: user_id, email, phone
strategy: crypto_shred
status: registry_tracked
columns: user_id, email, phone
strategy: crypto_shred
status: registry_tracked