Tavant’s focus on Data Warehouse (DW) Testing re-affirms that database structures, Extract, Transform and Load (ETL) process, and front-end access processes support business requirements of knowledge workers and decision makers within the business community.

Our DW Testing methodology is incremental and is designed to accommodate changing data warehouse schema arising from evolving business needs. We use a unique, structured approach to DW Testing that runs in concurrence with the development flow to eliminate anomalies prior to production.

DW Testing is executed at different stages to validate data completeness, transformation logic, data quality and performance scalability.

We leverage the best practices from different data warehousing teams and lay emphasis on continual process improvement, innovation and building core competencies.

As part of DW Testing, we offer:
1. Data Completeness
2. Data Transformation
3. Data Quality
4. Performance & Scalability
5. Integration Testing
6. User-Acceptance Testing
7. Regression Testing