Regulated analytics program
Use SAS when model admin controls, explainability, validation, and audit trails are part of the buying reason.
Enterprise quote after trial.
Updated June 16, 2026
SAS Business Analytics is for enterprises in finance, insurance, healthcare, public sector, risk, fraud, and regulated analytics. The main benefit is controlled analytics and statistical depth for high-stakes decisions.
Choose a lighter BI tool if casual dashboards or self-serve reports are the main need. Use the sales process to prove one workflow with real data, permissions, modeling, reporting, deployment ownership, support, and the SAS expertise needed to keep it running.
SAS Business Analytics is best understood today through SAS Viya and SAS Visual Analytics: an enterprise analytics platform for data management, visual analytics, statistical modeling, machine learning, admin controls, decisioning, and operational deployment.
It fits regulated or analytics-mature organizations that need trusted models, controlled data, and enterprise support more than a cheap dashboarding tool.
| Feature | What it does | Best plan fit |
|---|---|---|
| SAS Viya platform | Cloud-native environment for data, analytics, AI, admin controls, and deployment. | Enterprise quote. |
| Visual Analytics | Interactive reporting, exploration, dashboards, and visual data discovery. | Analytics users and BI teams. |
| Modeling and decisioning | Supports machine learning, statistical modeling, operational decisions, and explainability. | Data science and risk teams. |
| Admin controls and auditability | Controls for transparent, trustworthy analytics across teams. | Regulated organizations. |
| 14-day Viya trial | Private trial environment with guided exercises and limited uploaded data. | Evaluation and proof of fit. |
Use SAS when model admin controls, explainability, validation, and audit trails are part of the buying reason.
Enterprise quote after trial.
Use Viya when existing SAS programs or teams need a modern cloud-native analytics path.
SAS Viya migration plan.
Use SAS Visual Analytics when dashboards must sit inside a broader controlled analytics platform.
Quote with BI and admin users.
Use SAS when models need to move into production decisions, not just notebooks or reports.
Viya plus deployment services.
| Plan | Price | Best for / notes |
|---|---|---|
| SAS Viya | Request pricing | Official SAS page directs users to get SAS Viya pricing rather than publishing a public price table. |
| SAS Visual Analytics | Included in SAS analytics portfolio / quote | Evaluate as part of the SAS Viya buying path. |
| Free trial | 14-day SAS Viya trial | Private trial environment with guided exercises and up to 1 GB upload. |
| Implementation | Sales/partner scoped | Plan for admin, data integration, training, admin controls, and migration services. |
Source: Official pricing page.
SAS publishes a free 14-day Viya trial and a request-pricing path, but no simple public SAS Business Analytics subscription table was captured.
SAS Viya and SAS Visual Analytics can sit across databases, files, cloud data platforms, SAS assets, Python, R, controlled models, decisioning flows, and enterprise systems. Users should validate identity, data access, model deployment, audit needs, and migration of existing SAS programs before assuming a light BI rollout.
Use the 14-day SAS Viya trial to test a realistic workflow: prepare data, create visual reports, build or compare a model, check admin controls, and publish a result. Before procurement, define user groups, data sources, model risk needs, deployment path, admin owner, training plan, and how existing SAS code or reports will migrate.
The SAS Viya page directs users to request pricing; no simple public subscription table was captured.
Yes. SAS publishes a free 14-day Viya trial in a private trial environment.
Regulated and analytics-mature organizations that need controlled analytics, modeling, and deployment are the clearest fit.
Data access, visual reports, model workflows, admin controls, performance, and migration of existing SAS assets should be tested first.