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SAS (previously "Statistical Analysis System")[1] is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation,[2] and predictive analytics.
SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it.[3] SAS provides a graphical point-and-click user interface for non-technical users and more through the SAS language.[3]
The DATA step has executable statements that result in the software taking an action, and declarative statements that provide instructions to read a data set or alter the data's appearance.[4] The DATA step has two phases: compilation and execution. In the compilation phase, declarative statements are processed and syntax errors are identified. Afterwards, the execution phase processes each executable statement sequentially.[6] Data sets are organized into tables with rows called "observations" and columns called "variables". Additionally, each piece of data has a descriptor and a value.[4][7]
The development of SAS began in 1966 after North Carolina State University re-hired Anthony Barr[15] to program his analysis of variance and regression software so that it would run on IBM System/360 computers.[16] The project was funded by the National Institutes of Health.[17] and was originally intended to analyze agricultural data[12][18] to improve crop yields.[19] Barr was joined by student James Goodnight, who developed the software's statistical routines, and the two became project leaders.[15][16][20] In 1968, Barr and Goodnight integrated new multiple regression and analysis of variance routines.[21][22] In 1972, after issuing the first release of SAS, the project lost its funding.[17] According to Goodnight, this was because NIH only wanted to fund projects with medical applications.[23] Goodnight continued teaching at the university for a salary of $1 and access to mainframe computers for use with the project,[17] until it was funded by the University Statisticians of the Southern Experiment Stations the following year.[16][23] John Sall joined the project in 1973 and contributed to the software's econometrics, time series, and matrix algebra. Another early participant, Caroll G. Perkins, contributed to SAS' early programming. Jolayne W. Service and Jane T. Helwig created SAS' first documentation.[21]
SAS version 4 had limited features, but made SAS more accessible. Version 5 introduced a complete macro language, array subscripts, and a full-screen interactive user interface called Display Manager.[24] In 1985, SAS was rewritten in the C programming language. This allowed for the SAS' Multivendor Architecture that allows the software to run on UNIX, MS-DOS, and Windows. It was previously written in PL/I, Fortran, and assembly language.[20][24]
In 2002, the Text Miner software was introduced. Text Miner analyzes text data like emails for patterns in business intelligence applications.[40] In 2004, SAS Version 9.0 was released, which was dubbed "Project Mercury" and was designed to make SAS accessible to a broader range of business users.[41][42] Version 9.0 added custom user interfaces based on the user's role and established the point-and-click user interface of SAS Enterprise Guide as the software's primary graphical user interface (GUI).[41] The Customer Relationship Management (CRM) features were improved in 2004 with SAS Interaction Management.[43] In 2008 SAS announced Project Unity, designed to integrate data quality, data integration and master data management.[44]
A free version was introduced for students in 2010.[47] SAS Social Media Analytics, a tool for social media monitoring, engagement and sentiment analysis, was also released that year.[48][49] SAS Rapid Predictive Modeler (RPM), which creates basic analytical models using Microsoft Excel, was introduced that same ye