About SAS Institute.
SAS Institute provides business intelligence and analytics software for ABA organizations. Headquartered in Cary, NC, the platform transforms clinical and financial data into actionable insights through dashboards and reports.
How SAS Institute works.
SAS Institute Inc. is a privately held software company specializing in advanced analytics, business intelligence, and artificial intelligence platforms. Founded on July 1, 1976, SAS has grown into a major enterprise software provider with approximately 10,700 to 12,170 employees globally.
The company develops a comprehensive suite of analytics software designed to help organizations access, manage, analyze, and report on data to support decision-making. SAS solutions are used across diverse industries including financial services, healthcare, life sciences, retail, manufacturing, and government agencies. The platform offers capabilities ranging from data management and statistical analysis to machine learning and predictive analytics.
Headquartered in Cary, North Carolina, SAS operates as a global enterprise with customers worldwide. The company is recognized as a leader in the business intelligence and analytics software market, competing with firms like SAP, Teradata, and Informatica in the broader data analytics space.
While SAS provides analytics solutions that can be applied in healthcare settings, the company is not positioned as a specialized vendor for applied behavior analysis (ABA) or behavioral health organizations. Instead, it serves as a general-purpose enterprise analytics platform for large organizations seeking advanced data insights and reporting capabilities.
Product details
- Starting price
- $1500/mo as of May 2026
- Pricing notes
- SAS FAQ states prices start as low as $1,500/user for select offerings, ~$10,000 for core capacity, up to millions for full implementations. No public pricing tiers listed; quote-based. Academic discounts available (up to 95% off training).
- Deployment
- Hybrid
- Free tier
- Yes
- Integrations
- Amazon Web Services (AWS), Microsoft SQL Server, Microsoft Azure
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