Virtusa's end to end data and quality assurance services empower your organization's performance with quality data.
We have a robust process and a controlled data validation strategy.
Furthermore, we leverage our accelerators, platforms, and open-source tools to detect any data anomalies early in the test life cycle phase. This streamlined approach fast-tracks the entire QA cycle, saving time and resources while maintaining the highest quality standards.
Specific Solutions
Our comprehensive range of data quality assurance services includes:
- DWH/ETL testing: our smart data testing solution automates data validation and the Extract, Transform, and Load (ETL) testing processes. We leverage our custom tools, accelerators, and partner solutions to ensure the accuracy and consistency of data.
- Data migration testing: we build automated frameworks for testing data migrations that ensure seamless data transfer.
- BI and data visualization testing: our automated testing solution validates analytics and business intelligence reports for accuracy and reliability
- Big data testing: we build smart, automated data testing solutions for Hadoop data lakes and NoSQL data stores
Virtusa's data assurance-driven AI/ML accelerators can help reduce the manual effort of data quality issues detection for various data types by automated or machine learning data quality controls for critical data elements. These accelerators bring a host of benefits to your data quality processes, including:
- Flexible platform that offers easy customization and tailormade checks
- Reduced manual effort of data quality issues detection
- Calibrated for big data/data lake
- Easy integration with heterogeneous data sources
- Scalable architecture