SAS rolls out Data Maker on Microsoft Marketplace, offering secure, enterprise-grade synthetic data generation to accelerate AI development without exposing sensitive data.
SAS Data Maker, a new enterprise-grade platform from the global data and AI leader SAS, is now available in the Microsoft Marketplace. This synthetic data generator is designed to address a critical challenge for organizations: enabling robust AI development by creating statistically representative data without exposing sensitive or regulated information.
The new offering features an open, extensible architecture with enterprise-grade connectors for rapid integration into existing data ecosystems. It uniquely combines data augmentation and generation algorithms into a single tool to generate synthetic data that replicates the statistical, relational, and temporal characteristics of real data.
Bridging the Privacy and AI Gap
The launch of SAS Data Maker aims to overcome significant barriers to AI adoption, particularly in regulated industries.
“Synthetic data that is accurately generated and rigorously validated is an indispensable resource for robust and trustworthy AI models,” said Kathy Lange, Research Director, AI Software at IDC. She noted that accessing large, diverse real-world data is often hindered by increasing privacy concerns, legal restrictions, and high data acquisition costs. “SAS has delivered a solution that not only addresses these challenges but also enhances the speed and quality of AI development.”
SAS recently enhanced its capabilities in this area by acquiring the principal software assets of Hazy, a pioneer in synthetic data technology, integrating that expertise into the Data Maker platform.
Competitive Advantages in a Regulated Market
SAS, with its decades of experience serving highly regulated sectors like banking, health care, and government, is positioning Data Maker as a trusted solution that surpasses typical startup offerings. Key differentiators include:
- Trust and Enterprise Capabilities: The platform offers multitable source data, time series data support, and differential privacy measures—essential for meeting high-bar enterprise-level requirements.
- No-Code Interface: A user-friendly graphical interface (GUI) democratizes synthetic data generation, moving it beyond specialized data science teams.
- Built-in Validation: Unlike competitors that often rely on programmatic access for quality checks, Data Maker includes robust built-in tools for evaluating the statistical fidelity of synthetic data through visual metrics.
- Seamless Integration: The use of Privacy-Enhancing Technologies (PETs) allows users to leverage synthetic data as they would real data, enabling a seamless swap-in/swap-out of data in existing pipelines without requiring significant workflow changes or new tooling investments.
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Accelerating Business Impact
During a successful private preview period, global industry organizations reported measurable impacts by utilizing Data Maker to simulate complex data scenarios and fill critical training data gaps.
| Sector | Outcome Reported | Business Impact |
| Financial Services (UK) | Synthetic data closed a training data gap for credit scoring models. | 28% improvement in model accuracy, reducing potential losses. |
| Health Care (US) | Provided a secure platform for simulating patient behavior and treatment outcomes. | Reduced risks to patient privacy while enabling data-driven research and optimizing care paths. |
| European Telecom | Reduced data access time from weeks to minutes. | Enabled a more up-to-date customer churn predictive model, helping to improve customer retention. |
Brett Wujek, Head of Next-Generation AI Product Strategy at SAS, emphasized the solution’s pivotal role. “Effective, impactful AI needs appropriate and sufficient data—and synthetic data is a game changer for organizations looking to innovate responsibly,” he said.
SAS Data Maker is initially available in the Microsoft Marketplace, with plans to support additional cloud providers and integrate the solution into SAS Viya, its cloud-native AI platform.
