Discover how a global consulting firm enhanced QA for its Data Management Platform, processing 100M+ records weekly across 150+ countries. NewVision implemented a Quality Gate-driven automation framework, integrating UI, API, and data testing with CI/CD pipelines. This approach improved test efficiency, ensured compliance, and accelerated release cycles. The result was 80% automation coverage, faster data validation, and a 40% reduction in QA costs.
Client Overview
A leading global consulting firm specializing in audit, tax, and advisory services. Operating in over 150 countries, they manage large-scale data processing for risk management and compliance.
Key Challenges
Developing a scalable QA strategy for their Data Management Platform while ensuring compliance and efficiency.
- Complexity of data integration from 13+ sources and processing 100M+ records weekly.
- Slow manual validation causing testing bottlenecks and impacting go-live deadlines.
- Data quality issues affecting accuracy and compliance across multiple regions.
- Scalability concerns with growing data volumes and performance efficiency.
Our Solution
A comprehensive QA transformation with automation and continuous testing.
- Quality Gate-driven testing approach with automated UI, API, and data testing integrated into CI/CD pipelines.
- Tooling and automation implementation using Tosca DI and custom solutions for seamless validation.
- Developed a Synthetic data generation tool and risk-based testing to enhance test coverage with minimal dependencies.
- Phased execution model with regression automation, in-sprint testing, and parallel automation streams.
Success Highlights
80%
Test Automation Coverage
4 Hours
for 1M Data Records
100%
UAT Completion
40%
Reduction in QA Costs
