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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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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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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Analytics drives innovation
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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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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
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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Article
Гид: алгоритмы машинного обучения и их типыТермины «Машинное обучение» и «Искусственный интеллект» часто путают между собой. На самом деле, машинное обучение входит в область искусственного интеллекта. Ещё машинное обучение порой путают с прогнозной аналитикой (или предсказательным моделированием).
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Article
Insights Page
Искусственный интеллект - Что это такое и почему это так важноИскусственный интеллект (ИИ) позволяет компьютерам обучаться на собственном опыте, адаптироваться к задаваемым параметрам и выполнять те задачи, которые раньше были под силу только человеку.
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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
Как использовать данные, чтобы изменить мирОрганизации по всему миру используют данные, чтобы изменить мир к лучшему. Это привело к новым способам решения проблем, связанных с образованием, бедностью, здоровьем, правами человека, окружающей средой и другими сферами жизни.
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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
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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Article
Аналитика SAS поможет страховым компаниямКак применять углубленную аналитику и машинное обучение в медицинском страховании?
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Article
Экскурсия студентов факультета математики ВШЭ в офис SASРепортаж с экскурсии студентов факультета математики ВШЭ в российский офис и инновационный центр SAS.
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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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Заполнить пробелы в навыках бизнес-аналитикиThe University of Alabama graduates students capable of solving big, messy, real-world business challenges
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НП «Совет рынка»: прогнозирование потребностей в энергии и цен на рынкеНП «Совет рынка»: прогнозирование потребностей в энергии и цен на рынке
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Повышаем успеваемость студентов, используя лучшую аналитику данныхDes Moines Area Community College uses analytics and data visualization to help students prosper in the classroom and beyond.
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Эффективнее защищать природу с аналитикойThe 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® University EditionGet the analytical skills you need to secure your future with free SAS statistical analysis software for students and professors.
С 1976 года компании по всему миру доверяют SAS.