Customer Profile
A leading global research university migrating its data warehouse to Snowflake while ensuring accurate data across SIS and CRM systems.
Business Challenges
- Ensuring consistency between legacy and new ETL systems during migration.
- Addressing recurring data quality issues, transformation errors, and reporting inaccuracies.
- Reducing the time and effort required for manual data validation.
How We Solved It
- Automated ETL validation using 1,500+ generated test cases.
- Enabled report-to-query comparisons and visual validation across releases.
- Implemented continuous data quality monitoring and cross-system reconciliation.
Outcomes Delivered
- 66% reduction in data validation resources
- 100% data validation coverage during Snowflake migration
- $580K cost savings through validation automation