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.

IBM SPSS Statistics 20 continues to increase accessibility to advanced analytics through improved tools, output, and eas-of-use features. This release focuses on incresing the analytic capabilities of the software through:

• New Geospatial Data mapping capability - View the results of your analysis geographically with map templates available through the Graphboard Template Chooser. Create different types of visualizations, such as Chloropleth (color map), maps with mini-charts and overlay maps, to help you plan, target and forecast more effectively.

  Adding a geographic dimension to your analysis and reporting capabilities means you can present key information in an easily understood format that allows business decision-makers to more easily target, forecast, and plan by geographical area. The mapping feature can be used across many sectors such as:

  • Marketing - map campain effectiveness scores.
  • Retail - store planning and allocation maps.
  • Law enforcement - map crime reports to easily vizualize hot spots.
  • Academic - map students' test scores.

• Tables draw five times faster - IBM SPSS Statistics 19 introduced faster tables -- and in SPSS Statistics 20, table generation is faster still: tables render almost instantly.

  The entire table is drawn up to five times faster than before, and it easily navigated, increasing productivity and producing results more quickly.

• Improved analytics for IBM SPSS Advanced Statistics – Each new edition of IBM SPSS Statistics has introduced improved anlytical capabilities, and SPSS Statistics 20 is no different.

  With this release, the Generalized Linear Mixed Models (GLMM) procedure can be run with oridinal values. This enables you to build more accurate models when predicting nonlinear outcomes (such as whether a customer's satisfaction level will fall into the "low", "medium" or "high" category).

• Better access to IBM SPSS Amos – IBM SPSS Amos 20 introduces a non-graphical, programmatic method for specifying models. This offers:

  • Improved accessibility for those who can benefit by specifying models directly
  • Improved productivity for users who need to run large, complicated models
  • An easy way to generate many similar models that differ slightly

• Serving productivity improvements – We've also made technological improvements to IBM SPSS Statistics Server 20 that will enhance analytical productivity:

  • IBM SPSS Statisitcs Server can now run jobs offline by disconnecting the SPSS Statistics client from the network.
  • Gives users the ability to work on other projects without risking the success or completion of the analysis or output.
  • The client can be reconnected at any time to check the status of the jobs.

  Other productivity improvements include:

  • Saving sort files with the sort procedures to avoid an extra data pass in IBM SPSS Statistics.
  • Compressing temporary files created by the sort procedure. This saves disk space when sorting large files on SPSS Statistics Server.