IBM SPSS Statistics Family

IBM SPSS Statistics is a comprehensive, easy-to-use set of data and predictive analytics tools for business users, analysts and statistical programmers. Learn more about IBM SPSS Statistics products and capabilities.

IBM SPSS Statistics Standard

Fundamental analytical capabilities for a wide variety of business and research questions

IBM SPSS Statistics Professional

Additional capabilities to address issues of data quality, data complexity, automation and forecasting

IBM SPSS Statistics Premium

A full range of analytical techniques plus structural equation modeling (SEM), in-depth sampling assessment and testing, and procedures for direct marketing.

With major performance enhancements, improved procedures, and even more ease-of-use features, IBM SPSS Statistics 19 speeds and simplifies your analytic tasks so you get more done in less time.

• Generalized Linear Mixed Models – Create more accurate models for predicting non-linear outcomes in the Advanced Statistics module
• Faster Performance - For compiled transformations in IBM SPSS Statistics Server and up to 200% performance gain for generating pivot tables in IBM SPSS Statistics Base
• Statistics portal – Provide customized, Web-based analysis capabilities to colleagues and customers in IBM SPSS Statistics Server
• Automatic Linear Models – Build powerful linear models in an easy, automated way in IBM SPSS Statistics Base and IBM SPSS Statistics Server
• Syntax Editor – More than a dozen performance and ease-of-use enhancements for writing syntax in IBM SPSS Statistics Base and modules
• Default Measurement Level – Automatically sets your measurement level during analysis in IBM SPSS Statistics Base and modules
• Direct Marketing – Easier access to pre-built models, better ways to score data, and access to customer information in Salesforce.com from the IBM SPSS Direct Marketing module, IBM SPSS Statistics Base and other modules
• IBM System z Support – Ability to operate server versions of IBM SPSS Statistics Base and modules on IBM’s powerful mainframe servers