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2. SAS (software) - Wikipedia

   en.wikipedia.org/wiki/SAS_(software)

   SAS (previously "Statistical Analysis System") [1] is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, [2] and predictive analytics. SAS' analytical software is built upon artificial intelligence and utilizes machine learning ...

3. SAS Institute - Wikipedia

   en.wikipedia.org/wiki/SAS_Institute

   SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics and artificial intelligence software based in Cary, North Carolina. 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.

4. SAS Institute cuts jobs, employee reports, as Cary software ...

   www.aol.com/sas-institute-cuts-jobs-employee...

   The most recent county data says SAS employed around 4,000 people in the Triangle. “Over the years through natural attrition and conservative hiring, our headcount has gone down incrementally ...

5. SAS language - Wikipedia

   en.wikipedia.org/wiki/SAS_language

   While SAS was originally developed for data analysis, it became an important language for data storage. [5] SAS is one of the primary languages used for data mining in business intelligence and statistics. [29] According to Gartner's Magic Quadrant and Forrester Research, the SAS Institute is one of the largest vendors of data mining software. [24]

6. John Sall - Wikipedia

   en.wikipedia.org/wiki/John_Sall

   The company is best known for developing the SAS suite of analytics and data management software. Sall designed, developed, and documented many of the earliest procedures of the SAS language. [5] Some of his contributions included procedures for working with time series, econometrics, categorical data and matrix algebraic manipulations. [10]

7. Predictive analytics - Wikipedia

   en.wikipedia.org/wiki/Predictive_analytics

   Predictive analytics can help underwrite these quantities by predicting the chances of illness, default, bankruptcy, etc. Predictive analytics can streamline the process of customer acquisition by predicting the future risk behavior of a customer using application level data. Predictive analytics in the form of credit scores have reduced the ...