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SAS Consulting

The SAS System is a suite of software products designed for accessing, analyzing and reporting on data for a wide variety of applications.

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SAS (Statistical Analysis System)

The SAS System is a suite of software products designed for accessing, analyzing and reporting on data for a wide variety of applications. The SAS language includes a programming language designed to manipulate data and prepare it for analysis with the SAS procedures. SAS was originally developed in the 1970s for academic researchers by Dr. James Goodnight and colleagues at North Carolina State University. SAS includes a variety of components for accessing databases and flat, un-formatted files, manipulating data, and producing graphical output for publication on web pages and other destinations. Statistical routines in SAS support everything from sales forecasting to pharmaceutical analysis and from educational/psychological testing to financial risk analysis. SAS is one of the main analytics platforms for academic research and data analysis in institutions, companies and organizations around the world. Statistical Analysis System (SAS) is an integrated system of software products provided by SAS Institute Inc., which enables programmers to perform:

• Information retrieval and data management
• Report writing and graphics
• Statistical analysis, econometrics and data mining
• Business planning, forecasting, and decision support
• Operations research and project management
• Quality improvement
• Applications development
• Data warehousing (extract, transform, load)
• Platform independent and remote computing

SAS has the advantages of a long history, commons usage by biostatisticians and a wide range of statistical procedures. It's data step is very powerful for manipulating data, but does have its limitation. Output quality from stat procedures is good. I find the graphics only fair and confusing. Current versions of SAS are syntax driven, so you have to write a syntax command file, which requires some familiarity with what you want to do.

Uses of SAS/ETS Software:


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SAS/ETS software provides tools for a wide variety of applications in business, government, and academia. Major uses of SAS/ETS procedures are economic analysis, forecasting, economic and financial modeling, time series analysis, financial reporting, and manipulation of time series data.

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The common theme relating the many applications of the software is time series data: SAS/ETS software is useful whenever it is necessary to analyze or predict processes that take place over time or to analyze models that involve simultaneous relationships.

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SAS/ETS software is useful whenever time dependencies, simultaneous relationships, or dynamic processes complicate data analysis. For example, an environmental quality study might use SAS/ETS software’s time series analysis tools to analyze pollution emissions data. A pharmacokinetic study might use SAS/ETS software’s features for nonlinear systems to model the dynamics of drug metabolism in different tissues.

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SAS has the advantages of a long history, commons usage by biostatisticians and a wide range of statistical procedures. It's data step is very powerful for manipulating data, but does have its limitation. Output quality from stat procedures is good. I find the graphics only fair and confusing. Current versions of SAS are syntax driven, so you have to write a syntax command file, which requires some familiarity with what you want to do.

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