SAS Data Maker Launches in the Microsoft Marketplace

Why It Matters

By providing enterprise‑grade synthetic data on a trusted marketplace, SAS enables organizations to overcome privacy‑driven data scarcity, speeding AI model training and reducing compliance risk, which could become a competitive differentiator across regulated industries.

Key Takeaways

• SAS Data Maker now on Microsoft Marketplace
• Synthetic data improves AI model accuracy, e.g., 28% boost
• No-code GUI democratizes synthetic data generation
• Built-in privacy tools meet regulatory requirements
• Hazy acquisition powers advanced generation capabilities

Pulse Analysis

The synthetic data market has surged as organizations grapple with privacy regulations and the high cost of acquiring real‑world datasets. SAS’s entry, anchored by the launch of SAS Data Maker in the Microsoft Marketplace, signals a shift toward mainstream, enterprise‑ready solutions. By bundling generation, augmentation, and privacy‑enhancing technologies into a single offering, SAS positions itself alongside cloud providers to meet the growing demand for compliant, high‑quality training data.

What sets SAS Data Maker apart is its blend of enterprise trust and user‑friendly design. Leveraging decades of SAS experience in regulated sectors, the platform delivers multi‑table, time‑series, and differential‑privacy capabilities that many startups lack. The no‑code graphical interface empowers business analysts to create synthetic datasets without deep programming expertise, while built‑in evaluation tools ensure statistical fidelity. Integration of Hazy’s advanced algorithms further enhances realism, allowing organizations to simulate complex scenarios without exposing sensitive information.

Early customer pilots demonstrate tangible business impact. A UK financial services firm closed a data gap, achieving a 28% lift in credit‑scoring model accuracy, while a US healthcare provider used synthetic patient data to test treatment pathways without privacy risk. European telecoms cut data access times from weeks to minutes, enabling near‑real‑time churn predictions. As synthetic data becomes a cornerstone for responsible AI, SAS Data Maker’s marketplace availability streamlines adoption, paving the way for broader cloud‑native integrations and accelerated AI ROI.