From source system mappings to governed Snowflake customer data models — with full traceability and human review at every step.
Normalize customer data mappings from CRM, ERP, billing, and transactional systems into a single Canonical Metadata Model — one source of truth for the entire C360 data model.
Generate Snowflake DDL for customer entity tables, relationship tables, and aggregation layers — directly from the normalized metadata model.
Surface customer identifier mappings, key resolution logic, and deduplication rules from STTM metadata — flagging ambiguous identity logic for SME review.
Generate completeness, uniqueness, and referential integrity checks for customer data — ensuring the C360 model meets data quality standards before deployment.
Trace every customer attribute back to its source system, transformation logic, and business rule — providing complete lineage for compliance and audit purposes.
All C360 artifacts pass through human review before deployment. Engineers validate customer data logic, approve transformations, and sign off on the delivery package.
Customer data from dozens of source systems arrives in different formats, with different identifiers, and with undocumented transformation assumptions.
Manual STTM translation for C360 programs takes months — and produces inconsistent data models that diverge from the original business requirements.
Data quality issues in customer data are discovered in production, not in development — because DQ rules are applied inconsistently across source systems.
DE Copilot normalizes all source system mappings into one metadata model, generates consistent artifacts, and enforces DQ rules before the data reaches the C360 layer.