Data quality is the foundation of a digital-first world. Specifically, when AI permeates all things digital, poor data can derail decisions, delay launches, and damage reputations. This whitepaper from NewVision outlines a modern, proactive approach to data assurance powered by Tricentis Tosca Data Integrity (DI). Drawing on real-world transformation programs, it explores how QA teams can shift left and embed trust into data-intensive platforms across the lifecycle.
Key highlight of the whitepaper is NewVision’s approach to data assurance which include the following strategies.
- Implementing quality gates for end-to-end data validation
- Leveraging AI-generated synthetic data to improve test coverage
- Adopting a unified testing automation framework
- Deploying a data-driven testing pyramid strategy
- Enhancing scalability through a skills-based Center of Excellence model
With deep domain expertise and proven frameworks, NewVision demonstrates how Tosca DI can transform QA from a reactive function into a strategic enabler to deliver trusted data at scale.
