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https://sas.com redirected to https//www.sas.com during the time we crawled it. SAS (previously "Statistical Analysis System") is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics. It is used by corporations, governments, and other organizations to make data-driven decisions. SAS is particularly well-known for its data analysis and statistical capabilities, and it is widely used in industries such as finance, healthcare, and marketing. The SAS software suite includes various components for different tasks, such as SAS/STAT for statistical analysis, SAS/ETS for econometric and time series analysis, SAS/OR for operations research, and SAS/IML for matrix manipulation and statistical analysis. SAS also provides tools for data visualization, data mining, and machine learning. The software can be used for a wide range of analytical tasks, from simple data management and reporting to complex predictive modeling and optimization. SAS is known for its reliability, scalability, and comprehensive support for data analysis and modeling. It is often used in large organizations with substantial data analysis needs, where its robustness and flexibility are valued. SAS Institute, the company behind the SAS software, offers training, certification, and consulting services to help organizations make the most of the software. SAS is also known for its commitment to research and development, continually updating and improving its software to keep pace with advances in data analytics and technology. Overall, SAS is a powerful and versatile tool for data analysis and modeling, with a wide range of applications across different industries and domains."

• SAS (previously "Statistical Analysis System") is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics. It is used by corporations, governments, and other organizations to make data-driven decisions. SAS is particularly well-known for its data analysis and statistical capabilities, and it is widely used in industries such as finance, healthcare, and marketing. The SAS software suite includes various components for different tasks, such as SAS/STAT for statistical analysis, SAS/ETS for econometric and time series analysis, SAS/OR for operations research, and SAS/IML for matrix manipulation and statistical analysis. SAS also provides tools for data visualization, data mining, and machine learning. The software can be used for a wide range of analytical tasks, from simple data management and reporting to complex predictive modeling and optimization. SAS is known for its reliability, scalability, and comprehensive support for data analysis and modeling. It is often used in large organizations with substantial data analysis needs, where its robustness and flexibility are valued. SAS Institute, the company behind the SAS software, offers training, certification, and consulting services to help organizations make the most of the software. SAS is also known for its commitment to research and development, continually updating and improving its software to keep pace with advances in data analytics and technology. Overall, SAS is a powerful and versatile tool for data analysis and modeling, with a wide range of applications across different industries and domains.