Core statistical and graphics capabilities to take standard analytic projects from start to finish

Seamless integration with R, Python and other environments to easily and effectively expand statistical capabilities and programmability

Advanced statistical procedures, including GLM, GLMM, HLM, GENLIN and GEE, to more accurately identify and analyze complex relationships

Nonlinear regression, including MLR, Binary Logistic Regression, NLR, CNLR and Probit Analysis, to improve the accuracy of predictions

Customized tables to analyze and report on numerical and categorical data

High-end charts, graphs and mapping capabilities to aid analysis and reporting

Missing value analysis (with multiple imputation) to address issues of "dirty data" for more complete analysis and better decision-making

Advanced data preparation to identify anomalies and the other data that can skew results

Decision trees to better identify groups, discover relationships between groups, and predict future events

Forecasting to predict trends and build expert time-series forecasts quickly and easily

Structural Equation Modeling to test hypotheses and confirm relationships among observed and latent variables

Power Analysis (SamplePower)

Bootstrapping to test the stability and reliability of predictive models

Advanced sampling assessment and testing procedures

Direct marketing and product decision-making procedures to identify best customers and the product attributes that appeal to them

Add Statistics Server to this package and realize dramatically faster performance, improved productivity and powerful automation