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