Data privacy and limited access to quality datasets often slow AI and analytics projects. SAS® Data Maker solves this by generating realistic synthetic data that preserves statistical properties without exposing sensitive information. In this Super Demo, explore new features like multi-table support and advanced generation methods. See how the intuitive interface and built-in evaluation metrics help you innovate faster, test workflows, and develop models responsibly.
What does it really take to generate high-quality synthetic data at scale—without risking privacy or breaking complex data relationships? This session gives you an inside look at SAS Data Maker, from how to acquire and deploy it in Azure to a hands-on walkthrough of its most powerful capabilities, including multi-table modeling and time-series generation. You’ll see how real data is transformed into realistic synthetic datasets, complete with built-in privacy guarantees and flexible generation options. If you’re curious how to safely expand your data for better modeling and experimentation, this demo offers a practical, end-to-end glimpse you won’t want to miss.
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