Statistics Software

Increasingly organizations are turning to statistical analysis software to guide decision-making processes. Using statistical software can provide new information that improves processes, drives development and revenues, and helps organizations retain valued and satisfied customers. While there are many statistics software packages on the market today, only SAS provides a complete, comprehensive and integrated platform for data analysis. SAS' extensive statistical capabilities can meet the needs of entire organizations.

With SAS, you can easily access data from any source, perform data management, carry out statistical analysis and then present your findings in a variety of reports and graphs – all within a single, easily managed software environment. SAS enables you to evaluate data from a variety of sources, including clinical trials, marketing databases, health surveys, customer preference studies, stock market research and so on, and our technology provides comprehensive statistical techniques for applications that span every industry:

Identify key factors in semiconductor manufacturing processes.
Perform market research to determine customer preferences and choice patterns for new services.
Employ statistical sampling techniques to produce public opinion polls.
Describe air pollution patters with the use of spatial statistics.
Evaluate early research findings on a new variety of seed.
Model customer behavior to establish potential target markets for a new e-commerce endeavor.

From traditional analysis of variance to exact methods and statistical visualization techniques, SAS provides powerful tools for both specialized and enterprisewide analytical needs. And because SAS remains committed to its long tradition of constantly enriching its statistical offerings, you know that you will have access to the most up-to-date statistical techniques not just today, but well into the future.

Statistical Analysis

SAS/STAT software, an integral component of the SAS analytic platform, provides extensive statistical capabilities with tools for both specialized and enterprise-wide analytical needs. Ready-to-use procedures handle a wide range of statistical analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, and nonparametric analysis. SAS is committed to enriching its statistical offerings to keep up with evolving statistical methodology, and each new release of SAS/STAT software contains enhancements that reflect that commitment.

Exploratory Data Analysis

SAS/INSIGHT software includes a dynamic tool for visualizing your data to uncover trends, spot outliers and gain an understanding you might not derive from other analytical methods. You can explore data through a variety of interactive graphs and analyses linked across multiple windows as well as describe data distributions and fit explanatory models.

Matrix Programming Language

SAS/IML software provides a powerful and flexible matrix programming language in a dynamic, interactive environment for programmers, statisticians, and researchers. You can use SAS for data manipulation and statistical analysis, then employ the SAS/IML matrix language for more specialized analyses and exploration.

Matrix Programming Interface

SAS/IML Workshop is a graphical user interface and extension of SAS/IML software that enables you to explore data interactively using standard statistical graphics and tables. SAS/IML Workshop provides an integrated development environment for writing, debugging and executing SAS/IML programs. It also implements the IMLPlus programming language, which is an enhanced version of the IML programming language. IMLPlus provides new language features such as the ability to call SAS procedures and external C/Fortran/Java functions. IML Workshop requires a PC running the Microsoft Windows operating system.

Guided Data Analysis

SAS/LAB software offers guided (prompt-driven) data analysis for engineering and research applications. Analysts are led through basic methods of statistical analysis that can be represented graphically.

Market Research

The Market Research Application provides a point-and-click interface to analyses commonly used in market research such as conjoint analysis, discrete choice analysis and multidimensional preference mapping.

Other SAS Statistical Components

The Analyst Application provides point-and-click access to the basic statistical functionality in SAS/STAT software. SAS/QC software provides tools for statistical quality improvement, including tools for statistical quality control and an interface for the design of experiments. SAS/ETS software includes tools for econometrics and time series analysis. SAS/OR software provides a wide range of optimization methods with numerous statistical applications.

SAS Model Manager streamlines the process of creating, managing and deploying analytical models. It provides an integrated environment for tracking and monitoring model performance throughout the model life cycle. As models are tested and compared, performance benchmarking reports are generated. As they are deployed, performance metrics are pushed across reporting channels.

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