Synthetic data is a polarizing topic, simultaneously touted as a solution for hard-to-reach populations and small-sample studies, and condemned as confidently misrepresenting the voice of the customer. In this session, we present a validation framework along with findings from our ongoing evaluation of synthetic data across common tasks including cross tabs, key driver analysis, and conjoint. Attendees will leave with practical guidance for evaluating synthetic data outcomes along with validated use cases.
