We use a variety of tools for statistical analysis and accessing proprietary data sets. Examples are listed below.
SAS
A statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, and predictive analytics. SAS is the software most frequently used for data analysis and modeling.
R
A language and environment for statistical computing and graphics; R is free and becoming a popular choice among more newly-trained researchers.