With each release of IBM SPSS Statistics, we've added a number of helpful features and enhancements. Take a look at what you've been missing. Then contact us to upgrade your existing software today.

Added in Version 23

  • Gain deeper predictive insights from large and complex datasets.
    • Use the Temporal Causal Modeling (TCM) technique to uncover hidden causal relationships among large numbers of time series and automatically determine the best predictors.
  • Integrate, explore and model location and time data, and capitalize on new data sources to solve new business problems
    • The Spatio-Temporal Prediction (STP) technique can fit linear models for measurements taken over time at locations in 2D and 3D space.
    • The Generalized Spatial Association Rule (GSAR) finds associations between spatial and non-spatial attributes.
  • Embed analytics into the enterprise to speed deployment and return on investment.
    • Completely redesigned web reports offer more interactivity, functionality and web server support.
    • Enhanced categorical principal component analysis (CATPCA) capabilities.
    • Bulk load data for faster performance.
    • Stata 13 users can import, read and write Stata 9-13 files within SPSS Statistics.
    • Enterprise users can access SPSS Statistics using their identification badges and badge readers.
    • A wider range of R programming options enables developers to use a full-featured, integrated R development environment within SPSS Statistics.

Added in Version 22

  • Ability to make your output easily consumable
    • View interactive SPSS Statistics output on smart devices (smartphones and tablets)
    • Generate presentation-ready output quickly and easily
  • Enhanced Monte Carlo simulation to improve model accuracy
    • Ability to fit a categorical distribution to string fields
    • Support for Automatic Linear Modeling (ALM)
    • Generate heat maps automatically when displaying scatterplots in which the target or the input, or both, are categorical
    • Automatically determine and use associations between categorical inputs when generating data for those inputs
    • Generating data in the absence of a predictive model
  • Specialized techniques to speed performance and improve productivity and effectiveness
    • Find the features you need faster on a new startup screen
    • Improve performance and scalability using IBM SPSS Statistics Server with SQL push back
    • Greater resilience of SPSS Statistics Server in the event of network failures
    • Asynchronous reading of data to get data to the procedures faster
    • Improvements to importing/exporting from/to database
    • ODBC pooling for more reliable database connections
    • Make custom programming easier by simplifying the installation of extensions within SPSS Statistics
    • Use a simplified method to specify user-defined estimands in IBM SPSS Amos
    • Benefit from improved logging support for Enterprise Standard in the Platform Standards
    • Enable other applications to read/write encrypted Statistics data files with i/o dll
    • Generate pivot table output for non-parametric procedures

Added in Version 21

  • Monte Carlo simulation techniques for building better models and assessing risk when inputs are uncertain in SPSS Statistics Base
  • Ability to import IBM Cognos Business Intelligence data into SPSS Statistics
  • Password protection for data and output files in SPSS Statistics
  • Two datasets or files can be compared in SPSS Statistics
  • Improvements to pivot tables in SPSS Statistics
  • Improved storage space by compressing the data file in SPSS Statistics
  • Integration of the Java programming language through the SPSS Statistics Programmability Extension
  • Load balancing through SPSS Collaboration and Deployment Services improves scalability and performance in SPSS Statistics Server
  • Single sign-on between the SPSS Statistics client and SPSS Statistics Server
  • Improved security enables SPSS Server to run as non-root on Unix/Linux
  • Client and server software can be on different release levels
  • Easier model specification in SPSS Amos
  • Improved and faster file merging in SPSS Statistics
  • Export output to Excel 2007/2010 (.xlsx)
  • Pivot table output for Generalized Linear Mixed Models in SPSS Advanced Statistics
  • Improved usability with one-click descriptive information from the data editor

Added in Version 20

  • Map visualization capabilities, including pre-built map templates and support for ESRI files in SPSS Statistics Base
  • Faster tables: Generate fully interactive and editable output tables up to five times faster
  • Generalized linear mixed models (GLMM) can be run with a wide variety of hierarchical data (including ordinal values) in SPSS Advanced Statistics
  • Run server jobs while disconnected from the network in SPSS Statistics Server
  • Temporary file compression during sort procedure with SPSS Statistics Server
  • Non-graphical method to specify models in SPSS Amos

Added in Version 19*

  • Generalized linear mixed models (GLMM)
  • Improvements to crosstabs
  • Automatic linear models, with improved model accuracy and stability with boosting and bagging
  • Updates to SPSS Direct Marketing, including smart output and improvements to control package testing
  • UIs for scoring, allowing customers to more easily score new data with pre-built models
  • Improvements to portal: Ability to run SPSS Statistics in a portal, combined with SPSS Collaboration and Deployment Services
  • Ability to connect to Salesforce.com
  • Extended SPSS Exact Tests platform support to Mac and Linux
  • Import/Export Microsoft Excel 2010 data

Added in Version 18*

  • All modules can run independently - SPSS Statistics Base is no longer required
  • Prepare data in a single step using automated data preparation feature
  • New nonparametric tests in SPSS Statistics Base
  • Post computed categories in SPSS Custom Tables
  • Ability to view significance tests in the main results table in SPSS Custom Tables
  • Interactive model viewer on two-step cluster analysis and automated data preparation procedures
  • Improved display of large pivot tables
  • New modules: SPSS Direct Marketing and SPSS Bootstrapping

Added in Version 17*

  • Switch user interface language
  • Mac OS X and Linux platforms can connect clients to SPSS Statistics Server
  • Support for graphic packages written in R
  • Create user defined interfaces for existing procedures and user-defined procedures with custom dialog builder
  • Call front-end Python scripts or scripting APIs explicitly from within back-end Python programs
  • Support for Predictive Enterprise View, a common data interface that can be defined once and used by all IBM SPSS analytic tools
  • Read access to SPSS Statistics data files as an ODBC/JDBC data source, allowing these files to be read using SQL
  • Codebook procedure to automatically describe the dataset
  • Improved syntax editor with features to make it easier to create, test, and deploy syntax jobs
  • Multiple imputation of missing data
  • Nearest neighbor analysis
  • Wrapping and shrinking of wide tables in Microsoft Word and PowerPoint
*Upgrading from version 19 or earlier will require purchasing a new version of SPSS Statistics.

Considering a purchase?

Why upgrade?

Every release of SPSS Statistics includes powerful new features. See what you've been missing, then contact us to upgrade your software.

Buy student versions