SAS is an extremely powerful, comprehensive and flexible package for the integrated management and statistical analysis of data. It is marketed as an information delivery system, and widely used in research, the public sector, finance, industry and commerce.
Some users find SAS a difficult package to use because of its language. SAS statements are very short and concise, and are written in free format. They must be ordered in logical steps. DATA steps are used to input and manipulate data, while PROC steps are used to analyse data. Data must be read into a temporary or permanent SAS data set before they can be analysed.
SAS contains a wide range of methods with many options, and is the best package for complex data. However, due to it's complexity, there is limited local support for the package.