Data Testing Automation: Beyond UI and Application Testing
In this talk, Sandesh Gawande, CEO of iceDQ, breaks down one of the most overlooked yet costly challenges in modern enterprises the gap between application testing and data testing.
He begins with the real-world example of TSB Bank’s £500M migration failure, highlighting how inadequate data testing, not code or application flaws, led to massive financial and reputational losses.
Through relatable analogies and clear technical insights, Sandesh explains why data-centric projects require a fundamentally different approach from traditional application testing.
Key Topics Covered:
1. The critical difference between application testing and data testing
2. Why traditional QA tools and methods fail for data pipelines
3. Understanding validation vs. reconciliation in data testing
4. How to test dynamic, large-scale data flows without relying on UI
5. The need for specialized tools, skills, and frameworks for data reliability
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