IBM SPSS Statistics is a comprehensive, easy-to-use set of predictive analytic tools for business users, analysts and statistical programmers, helping organizations with a wide variety of predictive and statistical analysis:
- Identify which customers are likely to respond to specific promotional offers
- Boost profits and reduce costs by targeting only the most valuable customers
- Forecast future trends to better plan organizational strategies, logistics, and manufacturing processes
- Detect fraud and minimize business risk
- Analyze either/or outcomes, such as patient survival rates or good/bad credit risks
- Understand which characteristics consumers relate most closely to their brand
- Identify groups, discover relationships between groups, and predict future events
Analytical Features include:
- Regularization methods including Ridge regression, Lasso and Elastic Net, that improve predictive models by reducing coefficient variability
- Multithreaded algorithms including SORT, correlation, partial correlation linear regression, multinomial linear regression, factor analysis
- Nearest Neighbor analysis for prediction or classification
- Non-linear data modeling procedures to discover more complex relationships in your data.
- Cox Regression that enables survival analysis for samples drawn by complex sampling methods
- Nonparametric testing procedures
- Direct marketing functionality that allows business users to run their own analyses
- Bootstrapping capabilities that improve the stability of models
- Multithreaded procedures that improve performance and scalability