Discover how a leading private university in the United States improved its data validation processes with Datagaps. The university ensured data accuracy by leveraging ETL Validator and BI Validator, leading to significant cost savings and enhanced organizational reputation.
What is inside
- Comprehensive Validation: Ensure new ETL processes match old ones with robust validation.
- Automated Testing: Develop 1500 automated test cases for precise validation.
- Data Quality Scoring: Improve data accuracy in the Student Information System and CRM.
- Continuous Validation: Maintain data accuracy with ongoing validation efforts.