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About SAS
What is SAS?
SAS is the acronym for Statistical Analysis System. It is a software package for data analysis and report generation and comprises a suite of computer programs that perform data storage, retrieval, modification, simple and complex statistical analyses, and report creation.
SAS is owned and marketed by SAS Institute, an American developer of analytics software. It is the world’s largest privately held software company, and many Fortune 500 companies use SAS software.
SAS features
SAS is a powerful yet flexible 4GL (4th generation programming language) with many useful features.
- Descriptive statistics
- Powerful data analysis capabilities
- Advanced data correlations
- Macros for routine coding tasks
- SAS Studio for browser-based programming set-up
- Provides support for Hadoop
- Supports a wide range of data formats
- Offers scalability without compromising on performance
- Works on multiple platforms with interoperability
- Easily manageable
- Provides a choice of reporting and display formats
- Encrypted algorithms
Why is SAS used?
Predictive Analytics
Many industries like banking and financial services, oil, gas, utilities, insurance, and manufacturing use SAS predictive analytics. It uses statistical algorithms, data, and machine learning techniques to forecast the odds of future outcomes based on historical data trends. The advancements in data science and the ever-falling cost of computing hardware are enabling more industries to move towards embracing these prediction models and tools.
Business Intelligence
SAS Business Intelligence is an enterprise analysis tool to help users manage interactive reports and monitor metrics. It is popular with large businesses. It offers marketing reports, customizable dashboards, data source connectors, forecasting, ad-hoc analysis, etc.
Multivariate Analysis
SAS is a powerful multivariate analysis tool to detect and analyze different statistical variables for an outcome at the same given time. It uses various data points that record the effect of variable factors on a single result. It includes analysis of bivariate analysis, factor analysis, and multiple regressions.
SAS textbooks
Here is a list of reference SAS books:
- SAS Essentials – Mastering SAS for Data Analytics by Alan C. Elliott, Wayne A. Woodward. Publisher – Wiley
- Learning SAS by Example – A Programmer’s Guide by Ron Cody. Publisher – SAS Institute
- PROC SQL – Beyond the Basics Using SAS by Kirk Paul Lafler. Publisher – SAS Institute
- Applied Statistics and the SAS Programming Language by Ron Cody, Jeffrey Smith. Publisher – Pearson
- SAS Macro Programming Made Easy by Michele M. Burlew. Publisher – SAS Institute
- A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics by Norm O’Rourke, Larry Hatcher, Edward J. Stepanski. Publisher – SAS Publishing
- Data Preparation for Analytics Using SAS by Gerhard Svolba Ph.D. Publisher – SAS Publishing
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