SAS Viya

SAS Viya is a cloud-native data and AI platform for data management, visualization, statistical analysis, machine learning, model governance, and operational decisioning. It supports both visual workflows and code-based development across the analytics lifecycle.

1. Analytics lifecycle: teams can access and prepare data, explore relationships, create dashboards and reports, build statistical and machine learning models, manage model assets, and deploy analytics into operational workflows. SAS Model Manager adds model registration, versioning, lineage, monitoring, and deployment controls.
2. AI assistance: SAS Viya Copilot uses generative AI to help users generate and explain SAS code, develop model pipelines, explore data, build or modify reports, surface insights, and interpret analytical results through natural-language interactions. Its Visual Analytics capabilities can also generate chart summaries and assist with dashboard development.
3. Operational fit: Viya supports batch and real-time decisioning, governed model deployment, open-source integration with Python and R, and deployment through SAS-managed or self-managed environments. Its Kubernetes-based architecture supports public cloud as well as private, hybrid, and on-premises configurations such as Red Hat OpenShift.
4. Commercial considerations: SAS provides a free Viya trial in a private trial environment, while production pricing is provided by quote and depends on the capabilities, deployment approach, and organizational requirements selected. Individual Viya components and AI functionality can also have specific licensing or deployment prerequisites.

SAS Viya is particularly relevant to organizations that need advanced analytics and AI development connected to governed model management, deployment, and operational decision workflows rather than treating model building and production decisioning as separate systems.