Perfect test data is the holy grail of QA engineering. We need data that’s realistic, varied, and thorough enough to catch edge cases – but our current options all fall short. Production data masking gives us realism but raises privacy flags. Random generators pump out quantity without quality relationships. And creating test data manually? That’s like painting the Golden Gate Bridge with a watercolor brush.
