Software
SAS Institute develops and markets business analytics software collectively called SAS. SAS draws from statistics, predictive analytics, data mining, data visualization, operations research, quality improvement, graph theory and text analytics to help organizations predict, measure, analyze and decide based on data. It is used in detecting fraud, risk management, regulatory compliance, performance management, customer/marketing analysis and supply chain management.
A SAS application may combine data integration, data quality, data mastering, enterprise data access and data governance to source, cleanse and pool operationally generated and third-party data into an accurate source of input for analytical modeling. Analysis engines then apply a series of transformations, models and testing routines relevant to the use case. Analysis results are delivered to operational systems, dashboards, reports and other graphical user interfaces where they are consolidated, presented and used for automated or business-level decisions. SAS utilizes grid, in-database, and in-memory computing algorithms and methods to address extremely large data volumes. SAS also refers to the SAS language, a fourth-generation programming language.
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