Customer Profile
A leading French personal care company modernizing its data ecosystem and seeking to automate ETL validation during large-scale data migration initiatives.
Business Challenges
- Managing complex ETL validation and migration processes.
- Addressing data quality issues and performance bottlenecks.
- Reducing manual testing effort while ensuring data accuracy.
How We Solved It
- Managed reusable dataflows and pipelines for ETL and quality validation.
- Leveraged scalable processing to handle large data volumes.
- Implemented continuous data quality and integrity checks.
Outcomes Delivered
- 45–60% reduction in migration testing time
- 30% reduction in total cost of ownership
- 100% automated testing coverage
Customer Profile
A leading higher education institution managing student data at enterprise scale, using Collibra for data governance and Oracle PeopleSoft as its Student Information System (SIS).
Business Challenges
- Collibra could define rules but couldn’t execute them on live SIS data.
- Governance policies weren’t linked to real-time data validation.
- Tracking and reporting data quality across complex pipelines was difficult.
How We Solved It
- Integrated DataGaps DataOps with Collibra to connect rule definition and execution.
- Enabled automated validation on live datasets.
- Established continuous monitoring for ongoing data quality tracking and improvement.
Outcomes Delivered
- 60% reduction in deployment time
- 70% faster validation for new datasets
- 95% overall data quality score achieved
