SAS is a leader in business analytics. Through innovative analytics it caters to business intelligence and data management software and services. SAS transforms data into insight which can give a fresh perspective on business.
Unlike other BI tools available in the market, SAS takes an extensive programming approach to data transformation and analysis rather than a pure drag drop and connect approach. That makes it stand out from the crowd as it gives much finer control over data manipulation. SAS has a very large number of components customized for specific industries and data analysis tasks.
SAS stands for Statistical Analysis Software. It was created in the year 1960 by the SAS Institute. From 1st January 1960, SAS was used for data management, business intelligence, Predictive Analysis, Descriptive and Prescriptive Analysis etc. Since then, many new statistical procedures and components were introduced in the software.
With the introduction of JMP (Jump) for statistics SAS took advantage of the Graphical user Interface which was introduced by the Macintosh. Jump is basically used for the applications like Six Sigma, designs, quality control and engineering and scientific analysis.
SAS is platform independent which means you can run SAS on any operating system either Linux or Windows. SAS is driven by SAS programmers who use several sequences of operations on the SAS datasets to make proper reports for data analysis.
Over the years SAS has added numerous solutions to its product portfolio. It has solution for Data Governance, Data Quality, Big Data Analytics, Text Mining, Fraud management, Health science etc. We can safely assume SAS has a solution for every business domain.
To have a glance at the list of products available you can visit SAS Components
