[MUSIC] In this video we're going to look at the role of SAS in data and analytics. SAS stands for Statistical Analysis System, a licensed software system for data analysis, graphs, and report writing. SAS comprises a group of computer programs that work together to store data values and retrieve them, modify data, compute simple and complex statistical analysis, and create reports. Commercial and public organizations use SAS to perform data analysis. Non-technical users can interact with SAS’s point-and-click user interface. There are also more advanced programming options, called SAS language, that allow you to perform more complex data management and advanced analysis on data. We have used SAS to aggregate large and varied data sets, merging multiple datasets on key variables to construct longitudinal patient and customer histories. These data sets may include third party external data that has been purchased or subscribed, publicly available data, and of course, our client's data. SAS allows us to maintain logs and lists of the programs run and the outcome of each merger step where data were combined to provide record of the number of observations processed to our clients and for review by third parties, such as regulatory agencies. It also allows us the capability to make changes to existing SAS programs for re-use and scalability. You now have a high level understanding of how SAS is used in data and analytics. [MUSIC]