SAS is mainly used for data analysis, including statistical analysis, data visualization, and report writing. It is widely used in a variety of industries, including finance, healthcare, and government.
In finance, SAS is used for tasks such as risk management, fraud detection, and portfolio optimization. In healthcare, it is used for tasks such as clinical trial analysis, healthcare fraud detection, and population health management. In government, it is used for tasks such as budget forecasting, program evaluation, and fraud detection.
Additionally, SAS can be used for data mining, machine learning, and text mining, providing a wide range of tools and techniques for data scientists to analyze, visualize and model their data. It is also used for data management, including data integration, data quality, and data governance.