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Software Product Company
Cary, NC

SAS Institute (or SAS, pronounced "sass")-- the proper name is Statistical Analysis System-- is an American multinational developer of analytics software based in Cary, North Carolina. It started as a project at North Carolina State University to create a statistical analysis system that was originally used primarily by agricultural departments at universities in the late 1960s.

It became an independent, private business led by current CEO James Goodnight and three other project leaders from the university in 1976.

SAS develops and markets a suite of analytics software (also called SAS), which helps access, manage, analyze and report on data to aid in decision-making.

Product Overview

SAS Decision Manager

SAS Decision Manager combines predictive analytics with the prescriptive power of business rules management for more accurate and robust decision making. It combines all capabilities required for defining decision flows into a single solution – from data definitions through the model deployment process.

A common decision authoring and deployment environment used by different specialists dramatically reduces the time IT must spend validating and deploying analytical models, including SAS, open source and custom code.

SAS Text Miner

SAS Text Miner is a text mining software for faster, deeper insight from unstructured data. It allwes users to to easily analyze text data from the web, comment fields, books and other text sources.

Text is structured into numeric representations that summarize document collections and become inputs to predictive and data mining modeling techniques. SAS Text Miner extends text mining beyond basic start-and-stop lists by using custom entities and term trend discovery to refine automatically generated rules and topics.

SAS Enterprise BI Server

SAS Enterprise BI Server enables IT to deliver extensive business intel­ligence capabilities on top of an open infrastructure that is easy to integrate into existing environments, deploy and maintain.

It helps organi­zations overcome the deficiencies and complexities that permeate most business intelligence (BI) deployments while reducing the cost of ownership. It provides a solid basis for vendor consolidation and BI standardization, enabling IT to more effectively align with the business. At the same time, it deliv­ers user autonomy within a well­defined IT governance framework.