Expansive library of ready-to-use statistical procedures
Includes more than 100 prewritten statistical analysis procedures that deliver significant functionality.
Comprehensive statistical analysis tools. Unmatched in the industry.
Scalable to meet your expanding needs.
Wide range of robust statistical methods
Provides a comprehensive set of tools for both specialized and enterprisewide statistical needs – from analysis of variance and linear regression to Bayesian inference and high-performance model selection for massive data.
Cross-platform support and scalability
Runs on all major computing platforms and can access nearly any data source. Easily integrates into any computing environment and scales to address larger or more complex analytical problems.
Regular updates
Delivers the latest statistical methods and high-performance computational tools, along with user-requested enhancements.
Proven, validated models.
Analyze any kind and size of data using the latest statistical techniques.
SAS/STAT includes exact techniques for small data sets, high-performance statistical modeling tools for large data tasks and modern methods for analyzing data with missing values. And because the software is updated regularly, you'll benefit from using the newest methods in the rapidly expanding field of statistics.
Use proven, validated statistical methods
With more than four decades of experience developing advanced statistical analysis software, SAS has an established reputation for delivering superior, reliable results. Our rigorous software testing and quality assurance program means you can count on the quality of each release. You can be confident that the code you produce with SAS/STAT is documented and verified to meet corporate and governmental compliance requirements.
Readily understand results with an abundance of charts and graphs.
Hundreds of built-in, customizable charts and graphs ensure clear, consistent statistical output, so your analysis results are easy to understand. And because metadata is stored in a centralized repository, it’s easy to incorporate SAS/STAT models into other SAS solutions.
Explore More on SAS/STAT® & Beyond
To view resources by type, choose an option below.
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Analytics drives innovation -
Customer Story
Electric co-op forecasts demand and transmission needs NOVEC, a regional electricity cooperative, relies on SAS to forecast demand for power as well as for future infrastructure needs.
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Passing the testTo expand its business opportunities, Castle Worldwide uses SAS to deliver test results three weeks faster than before.
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Customer Story
Finding a smarter way to manage large data setsOptimizing for efficiency and profitability, CBE Group finds smarter ways to manage large data sets with SAS.
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Technical Paper
Evaluating predictive accuracy of survival models with PROC PHREGLearn how to validate and compare fitted survival models by using the PHREG procedure to calculate overall concordance statistics and time-dependent ROC curves for right-censored data.
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Article
Keeping an open mind about open analyticsSome of the smartest data science teams are using SAS alongside open source analytics. Find out how you can use both and deploy all models consistently.
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Technical Paper
Step up your statistical practice with today’s SAS/STAT softwareDiscover how the latest modern enhancements to SAS/STAT software can make a powerful difference in your work.
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Article
Analytics for all, all in one placeFrom Python to R and SAS to Spark, bring all of your analytics packages together with one trusted platform for analytics governance.
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Technical Paper
Five things you should know about quantile regressionExplore the benefits of building explanatory and predictive statistical models using quantile regression, and learn about the associated procedures in SAS/STAT software.
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Technical Paper
Evaluating predictive accuracy of survival models with PROC PHREGLearn how to validate and compare fitted survival models by using the PHREG procedure to calculate overall concordance statistics and time-dependent ROC curves for right-censored data.
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Technical Paper
Propensity score methods for causal inference with PROC PSMATCHFind out how propensity score methods are used for causal inference, and learn about methods for weighting, stratification and matching using the PSMATCH procedure.
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Technical Paper
Step up your statistical practice with today’s SAS/STAT softwareDiscover how the latest modern enhancements to SAS/STAT software can make a powerful difference in your work.
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Article
How Walmart makes data work for its customersTips from the world's largest retailer on building an infrastructure that makes data work for its 240 million customers a week.
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Article
Supporting indigenous communities with analyticsThough indigenous women are a small part of Canada's population, they account for a disproportionately large number of Canada's murder victims. Now, big data and analytics are being used to help improve outcomes.
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Article
Using data to change the worldApplying data science for social good has led to new and creative ways to address issues related to education, poverty, health, human rights, the environment and more.
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Interview
5 questions about open analytics Learn how one analytics team uses a combination of open source and enterprise analytics to find innovative solutions to complex problems.
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Article
Student lands dream job with help from SASA strong partnership between the University of Alabama and SAS put Cameron Jagoe on a path that led to his dream job with US Bank.
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Article
3 steps for AI ethicsWill artificial intelligence benefit humanity or usher in a series of unintended consequences? AI ethics may be one way to ensure artificial intelligence is used for good.
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Article
What is omnichannel analytics?Omnichannel analytics used to mean recognizing and marketing to customers across all channels. Now, smart retailers know it can, and must, mean so much more.
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Article
Data for good: Protecting consumers from unfair practicesHow text mining and machine learning could help the Consumer Financial Protection Bureau do even more.
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Customer Story
Electric co-op forecasts demand and transmission needs NOVEC, a regional electricity cooperative, relies on SAS to forecast demand for power as well as for future infrastructure needs.
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Customer Story
Finding a smarter way to manage large data setsOptimizing for efficiency and profitability, CBE Group finds smarter ways to manage large data sets with SAS.
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Filling the business analytics skills gapThe University of Alabama graduates students capable of solving big, messy, real-world business challenges
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Conservation efforts take flight with analyticsThe Royal Society for the Protection of Birds uses SAS to help safeguard wildlife.
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Finding the gems in your dataItalian wholesale jeweler increased business and managed the ever-increasing complexity of its operations using SAS Business Analytics to enhance its reporting and analysis capabilities to support strategic decisions.
Related Products
Check out some of our other products that include the extensive statistical capabilities of SAS/STAT software, built on the powerful SAS® Platform.
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SAS® Analytics ProAccess, manipulate, analyze and present information with a comprehensive analytical toolset that combines statistical analysis, reporting and high-impact visuals.
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SAS® In-Memory StatisticsFind insights in big data with a single environment that moves you quickly through each phase of the analytical life cycle.
