Not all synthetic data is the same thing. It runs from harmless placeholder numbers up to models that answer as a specific person. Run this two-minute check to see which rung you are on, what to ask, and whether to trust it for your decision.
Pick the one that best describes what you have been handed.
Be honest about the cost of being wrong.
Answer what you can. "Not sure" is a real and useful answer.
Two studies and two regulators worth reading before you trust any synthetic dataset.
Knowsis built PRISM, a published framework that scores synthetic projection and imputation across five measured dimensions, so you can judge it on evidence rather than on faith.
Explore PRISM Book a call