IBM SPSS Statistics Data SheetIBM Analytics

Highlights bull Explore install and update extensions with an online application store-like experience

bull Create and share extensions more easily

bull Redesigned experience while you import and export most popular file types

bull Take advantage of new enhancements in the SPSS Custom Tables module

IBM SPSS Statistics Whatrsquos New New and enhanced features to accelerate optimize and simplify data analysis

Analytics plays an increasingly important role in helping your organization achieve its objectives The IBMreg SPSSreg Statistics family delivers the core capabilities needed for end-to-end analytics To ensure that the most advanced techniques are available to a broader group of analysts and business users enhancements have been made to the features and capabilities of IBM SPSS Statistics Base and its many specialized modules

IBM SPSS Statistics 24 continues to offer advanced analytics through improved access to programming extensions smarter data management and enhanced productivity This release focuses on increasing the analytic capabilities of the software through the following features

bull SPSS Statistics Extensions An online application store-like experience to explore install and update extensions

bull Smarter data management Redesigned experience for importing and exporting of most popular file types

bull Enhanced productivity Enhanced features within SPSS custom tables refreshed variable view and several other enhancements

Our suite of SPSS Statistics software comes in three editions standard professional and premium These editions group essential features and functionality and are a convenient way to ensure you have the capabilities you need to generate the insights your organization requires for effective decision making

IBM SPSS Statistics

2

Data SheetIBM Analytics

SPSS Statistics Extensions In SPSS Statistics 24 you experience a new way to access and work with open source and third party programming extensions with the Statistics Extension Hub and the Statistics Custom Dialog Builder for Extensions

SPSS Statistics Extensions Hub The Extensions Hub is a new interface to manage extensions that provides an application store where you can

bull Easily browse download and update free product extensions based on SPSS Python or R syntax

bull Easily find and download new extensions bull Get updates to existing extensions bull Remove installed extensions bull View properties of your installed extensions

SPSS Statistics Custom Dialog Builder for Extensions It is easier than ever to create and share extensions based Figure 1 Image extensions hub on RPython and SPSS Syntax for your customized needs

bull Create extensions faster than ever with updated interface bull Easily share extensions (double click to install) bull Access new control options new properties of

existing controls bull Choose new options for the menu location of a dialog bull Create extensions faster than ever with updated interface

Figure 2 Custom Dialog Builder

IBM SPSS Statistics

3

Data SheetIBM Analytics

Smarter data management In SPSS Statistics 24 you will get a redesigned experience while importing and exporting the most popular file types with more accurate calculation of a variable type Here are some of the features

bull Quickly import and export files with redesigned Excel and CSV functionality

bull Determine the data format for a column based on a specified percentage of values with the same format

bull Ignore hidden Excel rows and columns bull Remove leading and trailing spaces from string values bull Specify a sheet name when writing Excel data files bull Append a named sheet to an existing Excel workbook bull Write variable labels instead of variable names to an

Excel file bull Gain more flexibility in reading text data files including

automatic detection of data formats and better handling of date and time values

bull Export value labels to a database

Figure 3 Importing Excel file

Enhancements in SPSS Custom Tables With SPSS Statistics 24 SPSS Custom Tables module added a few groundbreaking features

bull Effective base for weighted sample results bull Scores of new confidence interval and standard error

statistics bull Ability to include significant test results in the main table bull Display significance values for column means and column

proportions tests bull An additional false discovery correction method for

multiple comparisons

Figure 4 Custom tables features

IBM SPSS Statistics

4

Data SheetIBM Analytics

Reasons to upgrade your SPSS Additional V24 enhancements include the following Statistics software bull SPSS community for extensions and forums bull Welcome screen with tie-ins to community and

license manager bull Multi-threading control on client screens bull New TableLooks bull ldquoRevert to Savedrdquo functionality bull Python 3 support bull Added NAIumlVE BAYES and SELECT PREDICTORS

to base (formerly server only features) bull New date and time formats bull Ability to show leading zeros bull Variable icons in data editor bull Refreshed variable view

Figure 5 IBM SPSS Statistics

If yoursquore using an earlier version of IBM SPSS Statistics yoursquoll gain all of these time saving features and many more when you upgrade to the newest version

Features added in SPSS Statistics 23

Newer algorithms bull Uncover hidden causal relationships among a large number

of time series using temporal causal modeling (TCM)

Geospatial analytics bull Find trends over time and space using spatio-temporal

prediction (STP) bull Create association rules that incorporate geospatial

attributes using the generalized spatial association rule (GSAR)

Improved productivity bull Improved categorical principal component analysis with

non-parametric bootstrapping clustering of case and new rotation options for better convergence

bull Programmability enhancements for R with the ability to test programs using features of the R integrated development environment for easy debugging

bull Next generation of web output with more interactivity and functionality with web server support

bull Improved accessibility with the ability to import read and write new version of Stata files

bull Faster performance with bulk exportinsert to database bull Support to authenticate with a badge reader

IBM SPSS Statistics

5

Data SheetIBM Analytics

Features added in IBM SPSS Statistics 22 bull Easier model specification in IBM SPSS Statistics Amos bull Interactive output on smart devices bull Presentation-ready output bull More powerful Monte Carlo Simulation with support for

simulating strings automatic linear modeling and heat maps

bull Integration with IBMreg Cognosreg TM1 bull Improved performance and scalability using SPSS Statistics

server with SQL pushback bull Python plug-in as part of main installation bull Search for download and install available programming

extensions from within extensions bull Use a simplified method to specify user-defined estimands

in SPSS Amos bull Benefit from improved logging support for Enterprise

Standard in the Platform Standards bull Enable other applications to readwrite encrypted statistics

data files with IO dll bull Generate pivot table output for non-parametric procedures

Features added in IBM SPSS Statistics 21 bull Monte Carlo simulation for building better models to

uncertain inputs bull Ability to compare two data files or data sets to ensure

the data values and records are compatible bull Password protection of data and output files (encryption)

to prevent others from seeing confidential information bull Improved and faster file merging bull Enhanced pivot tables with new features such as easier

navigation and sorting operations

for structural equation modeling (SEM) bull Programming in SPSS Statistics with a Java plug-in bull Ability to import IBM Cognos Business Intelligence data

into SPSS Statistics for additional analysis bull Exporting of output to Microsoft Excel 20072010 bull Better scalability and performance with load balancing

with IBM SPSS Collaboration and Deployment Services bull Single sign-on between SPSS Statistics client and server bull For security restricted environments the option to run

SPSS Statistics server as a non-root user on UNIXLINUX bull Compression of data files for increased storage space bull Version compatibility to support new clients with old

servers and vice versa such as client V21 and server V20 OR client V20 and server V21

Features added in IBM SPSS Statistics 20 bull Pre-built map templates and support for ESRI files in

SPSS Statistics Base bull Faster pivot table output bull GLMM procedure in IBM SPSS Advanced Statistics can

be run with ordinal values bull Non-graphical programmatic method for specifying

models in SPSS Amos bull Run SPSS Statistics Server jobs offline by disconnecting

the SPSS Statistics client bull Compress temporary files created by the sort procedure

within SPSS Statistics Server to save disk space when sorting large files

IBM SPSS Statistics

6

Data SheetIBM Analytics

Features added in IBM Statistics 19 Features added in IBM SPSS Statistics 18 bull Automatic Linear Models (ALM) gives non-specialist users

the tools to build powerful linear models automatically and predict numerical outcomes

bull Generalized Linear Mixed Models (GLMM) in SPSS Advanced Statistics lets you create more accurate models for predicting non-linear outcomes based on hierarchical nested data or data that includes repeated measures

bull Several new capabilities in IBM SPSS Direct Marketing bull Faster performing tables in SPSS Statistics Base bull More than a dozen performance and ease-of-use

enhancements to the Syntax Editor available in all products in the SPSS Statistics family

bull The Statistics portal provides internal or external users with interactive online access to analysis (requires SPSS Statistics Server and SPSS Collaboration and Deployment Services)

bull Compiled transformations is a feature in SPSS Statistics Server that improves the performance of SPSS Statistics programs that execute a large number of data transformations

bull Analysts using SPSS Statistics Base can score customer data access pre-built models and interface directly with data in Salesforcecom

bull Pivot columns and cross tabulations in SPSS Statistics Base and IBM SPSS Custom Tables

bull Work with smaller and sparse datasets on Linux and Mac operating systems in IBM SPSS Exact Tests

bull Run SPSS Statistics Base Server on IBMreg System zreg

(requires SuSE Linux)

bull Prepare data in a single step using the new Automated Data Preparation feature

bull New Non-parametric tests in SPSS Statistics Base bull Post computed categories in SPSS Custom Tables bull SPSS Direct Marketing module bull SPSS Bootstrapping module bull Rule checking on Secondary SPC Charts bull IBM SPSS Statistics Developer bull Ability to view significance tests in the main results table

in SPSS Custom Tables bull Interactive Model Viewer on Two-Step Cluster Analysis

and Automated Data Preparation procedures bull Improved display of large pivot tables bull Improved performance on procedures within SPSS

Statistics Base Server for Frequencies Descriptives Crosstabs

bull Support for 64-bit hardware on desktop for Windows and Mac

bull Support for Snow Leopard on Mac OS X 106

For more information To learn more about the IBM SPSS Statistics please contact your IBM representative or IBM Business Partner or visit the following website ibmcommarketplacecloudstatistical-analysis-and-reportingusen-us

IBM SPSS Statistics

2

Data SheetIBM Analytics

SPSS Statistics Extensions In SPSS Statistics 24 you experience a new way to access and work with open source and third party programming extensions with the Statistics Extension Hub and the Statistics Custom Dialog Builder for Extensions

SPSS Statistics Extensions Hub The Extensions Hub is a new interface to manage extensions that provides an application store where you can

bull Easily browse download and update free product extensions based on SPSS Python or R syntax

bull Easily find and download new extensions bull Get updates to existing extensions bull Remove installed extensions bull View properties of your installed extensions

SPSS Statistics Custom Dialog Builder for Extensions It is easier than ever to create and share extensions based Figure 1 Image extensions hub on RPython and SPSS Syntax for your customized needs

bull Create extensions faster than ever with updated interface bull Easily share extensions (double click to install) bull Access new control options new properties of

existing controls bull Choose new options for the menu location of a dialog bull Create extensions faster than ever with updated interface

Figure 2 Custom Dialog Builder

IBM SPSS Statistics

3

Data SheetIBM Analytics

Smarter data management In SPSS Statistics 24 you will get a redesigned experience while importing and exporting the most popular file types with more accurate calculation of a variable type Here are some of the features

bull Quickly import and export files with redesigned Excel and CSV functionality

bull Determine the data format for a column based on a specified percentage of values with the same format

bull Ignore hidden Excel rows and columns bull Remove leading and trailing spaces from string values bull Specify a sheet name when writing Excel data files bull Append a named sheet to an existing Excel workbook bull Write variable labels instead of variable names to an

Excel file bull Gain more flexibility in reading text data files including

automatic detection of data formats and better handling of date and time values

bull Export value labels to a database

Figure 3 Importing Excel file

Enhancements in SPSS Custom Tables With SPSS Statistics 24 SPSS Custom Tables module added a few groundbreaking features

bull Effective base for weighted sample results bull Scores of new confidence interval and standard error

statistics bull Ability to include significant test results in the main table bull Display significance values for column means and column

proportions tests bull An additional false discovery correction method for

multiple comparisons

Figure 4 Custom tables features

IBM SPSS Statistics

4

Data SheetIBM Analytics

Reasons to upgrade your SPSS Additional V24 enhancements include the following Statistics software bull SPSS community for extensions and forums bull Welcome screen with tie-ins to community and

license manager bull Multi-threading control on client screens bull New TableLooks bull ldquoRevert to Savedrdquo functionality bull Python 3 support bull Added NAIumlVE BAYES and SELECT PREDICTORS

to base (formerly server only features) bull New date and time formats bull Ability to show leading zeros bull Variable icons in data editor bull Refreshed variable view

Figure 5 IBM SPSS Statistics

If yoursquore using an earlier version of IBM SPSS Statistics yoursquoll gain all of these time saving features and many more when you upgrade to the newest version

Features added in SPSS Statistics 23

Newer algorithms bull Uncover hidden causal relationships among a large number

of time series using temporal causal modeling (TCM)

Geospatial analytics bull Find trends over time and space using spatio-temporal

prediction (STP) bull Create association rules that incorporate geospatial

attributes using the generalized spatial association rule (GSAR)

Improved productivity bull Improved categorical principal component analysis with

non-parametric bootstrapping clustering of case and new rotation options for better convergence

bull Programmability enhancements for R with the ability to test programs using features of the R integrated development environment for easy debugging

bull Next generation of web output with more interactivity and functionality with web server support

bull Improved accessibility with the ability to import read and write new version of Stata files

bull Faster performance with bulk exportinsert to database bull Support to authenticate with a badge reader

IBM SPSS Statistics

5

Data SheetIBM Analytics

Features added in IBM SPSS Statistics 22 bull Easier model specification in IBM SPSS Statistics Amos bull Interactive output on smart devices bull Presentation-ready output bull More powerful Monte Carlo Simulation with support for

simulating strings automatic linear modeling and heat maps

bull Integration with IBMreg Cognosreg TM1 bull Improved performance and scalability using SPSS Statistics

server with SQL pushback bull Python plug-in as part of main installation bull Search for download and install available programming

extensions from within extensions bull Use a simplified method to specify user-defined estimands

in SPSS Amos bull Benefit from improved logging support for Enterprise

Standard in the Platform Standards bull Enable other applications to readwrite encrypted statistics

data files with IO dll bull Generate pivot table output for non-parametric procedures

Features added in IBM SPSS Statistics 21 bull Monte Carlo simulation for building better models to

uncertain inputs bull Ability to compare two data files or data sets to ensure

the data values and records are compatible bull Password protection of data and output files (encryption)

to prevent others from seeing confidential information bull Improved and faster file merging bull Enhanced pivot tables with new features such as easier

navigation and sorting operations

for structural equation modeling (SEM) bull Programming in SPSS Statistics with a Java plug-in bull Ability to import IBM Cognos Business Intelligence data

into SPSS Statistics for additional analysis bull Exporting of output to Microsoft Excel 20072010 bull Better scalability and performance with load balancing

with IBM SPSS Collaboration and Deployment Services bull Single sign-on between SPSS Statistics client and server bull For security restricted environments the option to run

SPSS Statistics server as a non-root user on UNIXLINUX bull Compression of data files for increased storage space bull Version compatibility to support new clients with old

servers and vice versa such as client V21 and server V20 OR client V20 and server V21

Features added in IBM SPSS Statistics 20 bull Pre-built map templates and support for ESRI files in

SPSS Statistics Base bull Faster pivot table output bull GLMM procedure in IBM SPSS Advanced Statistics can

be run with ordinal values bull Non-graphical programmatic method for specifying

models in SPSS Amos bull Run SPSS Statistics Server jobs offline by disconnecting

the SPSS Statistics client bull Compress temporary files created by the sort procedure

within SPSS Statistics Server to save disk space when sorting large files

IBM SPSS Statistics

6

Data SheetIBM Analytics

Features added in IBM Statistics 19 Features added in IBM SPSS Statistics 18 bull Automatic Linear Models (ALM) gives non-specialist users

the tools to build powerful linear models automatically and predict numerical outcomes

bull Generalized Linear Mixed Models (GLMM) in SPSS Advanced Statistics lets you create more accurate models for predicting non-linear outcomes based on hierarchical nested data or data that includes repeated measures

bull Several new capabilities in IBM SPSS Direct Marketing bull Faster performing tables in SPSS Statistics Base bull More than a dozen performance and ease-of-use

enhancements to the Syntax Editor available in all products in the SPSS Statistics family

bull The Statistics portal provides internal or external users with interactive online access to analysis (requires SPSS Statistics Server and SPSS Collaboration and Deployment Services)

bull Compiled transformations is a feature in SPSS Statistics Server that improves the performance of SPSS Statistics programs that execute a large number of data transformations

bull Analysts using SPSS Statistics Base can score customer data access pre-built models and interface directly with data in Salesforcecom

bull Pivot columns and cross tabulations in SPSS Statistics Base and IBM SPSS Custom Tables

bull Work with smaller and sparse datasets on Linux and Mac operating systems in IBM SPSS Exact Tests

bull Run SPSS Statistics Base Server on IBMreg System zreg

(requires SuSE Linux)

bull Prepare data in a single step using the new Automated Data Preparation feature

bull New Non-parametric tests in SPSS Statistics Base bull Post computed categories in SPSS Custom Tables bull SPSS Direct Marketing module bull SPSS Bootstrapping module bull Rule checking on Secondary SPC Charts bull IBM SPSS Statistics Developer bull Ability to view significance tests in the main results table

in SPSS Custom Tables bull Interactive Model Viewer on Two-Step Cluster Analysis

and Automated Data Preparation procedures bull Improved display of large pivot tables bull Improved performance on procedures within SPSS

Statistics Base Server for Frequencies Descriptives Crosstabs

bull Support for 64-bit hardware on desktop for Windows and Mac

bull Support for Snow Leopard on Mac OS X 106

For more information To learn more about the IBM SPSS Statistics please contact your IBM representative or IBM Business Partner or visit the following website ibmcommarketplacecloudstatistical-analysis-and-reportingusen-us

IBM SPSS Statistics

3

Data SheetIBM Analytics

Smarter data management In SPSS Statistics 24 you will get a redesigned experience while importing and exporting the most popular file types with more accurate calculation of a variable type Here are some of the features

bull Quickly import and export files with redesigned Excel and CSV functionality

bull Determine the data format for a column based on a specified percentage of values with the same format

bull Ignore hidden Excel rows and columns bull Remove leading and trailing spaces from string values bull Specify a sheet name when writing Excel data files bull Append a named sheet to an existing Excel workbook bull Write variable labels instead of variable names to an

Excel file bull Gain more flexibility in reading text data files including

automatic detection of data formats and better handling of date and time values

bull Export value labels to a database

Figure 3 Importing Excel file

Enhancements in SPSS Custom Tables With SPSS Statistics 24 SPSS Custom Tables module added a few groundbreaking features

bull Effective base for weighted sample results bull Scores of new confidence interval and standard error

statistics bull Ability to include significant test results in the main table bull Display significance values for column means and column

proportions tests bull An additional false discovery correction method for

multiple comparisons

Figure 4 Custom tables features

IBM SPSS Statistics

4

Data SheetIBM Analytics

Reasons to upgrade your SPSS Additional V24 enhancements include the following Statistics software bull SPSS community for extensions and forums bull Welcome screen with tie-ins to community and

license manager bull Multi-threading control on client screens bull New TableLooks bull ldquoRevert to Savedrdquo functionality bull Python 3 support bull Added NAIumlVE BAYES and SELECT PREDICTORS

to base (formerly server only features) bull New date and time formats bull Ability to show leading zeros bull Variable icons in data editor bull Refreshed variable view

Figure 5 IBM SPSS Statistics

If yoursquore using an earlier version of IBM SPSS Statistics yoursquoll gain all of these time saving features and many more when you upgrade to the newest version

Features added in SPSS Statistics 23

Newer algorithms bull Uncover hidden causal relationships among a large number

of time series using temporal causal modeling (TCM)

Geospatial analytics bull Find trends over time and space using spatio-temporal

prediction (STP) bull Create association rules that incorporate geospatial

attributes using the generalized spatial association rule (GSAR)

Improved productivity bull Improved categorical principal component analysis with

non-parametric bootstrapping clustering of case and new rotation options for better convergence

bull Programmability enhancements for R with the ability to test programs using features of the R integrated development environment for easy debugging

bull Next generation of web output with more interactivity and functionality with web server support

bull Improved accessibility with the ability to import read and write new version of Stata files

bull Faster performance with bulk exportinsert to database bull Support to authenticate with a badge reader

IBM SPSS Statistics

5

Data SheetIBM Analytics

Features added in IBM SPSS Statistics 22 bull Easier model specification in IBM SPSS Statistics Amos bull Interactive output on smart devices bull Presentation-ready output bull More powerful Monte Carlo Simulation with support for

simulating strings automatic linear modeling and heat maps

bull Integration with IBMreg Cognosreg TM1 bull Improved performance and scalability using SPSS Statistics

server with SQL pushback bull Python plug-in as part of main installation bull Search for download and install available programming

extensions from within extensions bull Use a simplified method to specify user-defined estimands

in SPSS Amos bull Benefit from improved logging support for Enterprise

Standard in the Platform Standards bull Enable other applications to readwrite encrypted statistics

data files with IO dll bull Generate pivot table output for non-parametric procedures

Features added in IBM SPSS Statistics 21 bull Monte Carlo simulation for building better models to

uncertain inputs bull Ability to compare two data files or data sets to ensure

the data values and records are compatible bull Password protection of data and output files (encryption)

to prevent others from seeing confidential information bull Improved and faster file merging bull Enhanced pivot tables with new features such as easier

navigation and sorting operations

for structural equation modeling (SEM) bull Programming in SPSS Statistics with a Java plug-in bull Ability to import IBM Cognos Business Intelligence data

into SPSS Statistics for additional analysis bull Exporting of output to Microsoft Excel 20072010 bull Better scalability and performance with load balancing

with IBM SPSS Collaboration and Deployment Services bull Single sign-on between SPSS Statistics client and server bull For security restricted environments the option to run

SPSS Statistics server as a non-root user on UNIXLINUX bull Compression of data files for increased storage space bull Version compatibility to support new clients with old

servers and vice versa such as client V21 and server V20 OR client V20 and server V21

Features added in IBM SPSS Statistics 20 bull Pre-built map templates and support for ESRI files in

SPSS Statistics Base bull Faster pivot table output bull GLMM procedure in IBM SPSS Advanced Statistics can

be run with ordinal values bull Non-graphical programmatic method for specifying

models in SPSS Amos bull Run SPSS Statistics Server jobs offline by disconnecting

the SPSS Statistics client bull Compress temporary files created by the sort procedure

within SPSS Statistics Server to save disk space when sorting large files

IBM SPSS Statistics

6

Data SheetIBM Analytics

Features added in IBM Statistics 19 Features added in IBM SPSS Statistics 18 bull Automatic Linear Models (ALM) gives non-specialist users

the tools to build powerful linear models automatically and predict numerical outcomes

bull Generalized Linear Mixed Models (GLMM) in SPSS Advanced Statistics lets you create more accurate models for predicting non-linear outcomes based on hierarchical nested data or data that includes repeated measures

bull Several new capabilities in IBM SPSS Direct Marketing bull Faster performing tables in SPSS Statistics Base bull More than a dozen performance and ease-of-use

enhancements to the Syntax Editor available in all products in the SPSS Statistics family

bull The Statistics portal provides internal or external users with interactive online access to analysis (requires SPSS Statistics Server and SPSS Collaboration and Deployment Services)

bull Compiled transformations is a feature in SPSS Statistics Server that improves the performance of SPSS Statistics programs that execute a large number of data transformations

bull Analysts using SPSS Statistics Base can score customer data access pre-built models and interface directly with data in Salesforcecom

bull Pivot columns and cross tabulations in SPSS Statistics Base and IBM SPSS Custom Tables

bull Work with smaller and sparse datasets on Linux and Mac operating systems in IBM SPSS Exact Tests

bull Run SPSS Statistics Base Server on IBMreg System zreg

(requires SuSE Linux)

bull Prepare data in a single step using the new Automated Data Preparation feature

bull New Non-parametric tests in SPSS Statistics Base bull Post computed categories in SPSS Custom Tables bull SPSS Direct Marketing module bull SPSS Bootstrapping module bull Rule checking on Secondary SPC Charts bull IBM SPSS Statistics Developer bull Ability to view significance tests in the main results table

in SPSS Custom Tables bull Interactive Model Viewer on Two-Step Cluster Analysis

and Automated Data Preparation procedures bull Improved display of large pivot tables bull Improved performance on procedures within SPSS

Statistics Base Server for Frequencies Descriptives Crosstabs

bull Support for 64-bit hardware on desktop for Windows and Mac

bull Support for Snow Leopard on Mac OS X 106

For more information To learn more about the IBM SPSS Statistics please contact your IBM representative or IBM Business Partner or visit the following website ibmcommarketplacecloudstatistical-analysis-and-reportingusen-us

IBM SPSS Statistics

4

Data SheetIBM Analytics

Reasons to upgrade your SPSS Additional V24 enhancements include the following Statistics software bull SPSS community for extensions and forums bull Welcome screen with tie-ins to community and

license manager bull Multi-threading control on client screens bull New TableLooks bull ldquoRevert to Savedrdquo functionality bull Python 3 support bull Added NAIumlVE BAYES and SELECT PREDICTORS

to base (formerly server only features) bull New date and time formats bull Ability to show leading zeros bull Variable icons in data editor bull Refreshed variable view

Figure 5 IBM SPSS Statistics

If yoursquore using an earlier version of IBM SPSS Statistics yoursquoll gain all of these time saving features and many more when you upgrade to the newest version

Features added in SPSS Statistics 23

Newer algorithms bull Uncover hidden causal relationships among a large number

of time series using temporal causal modeling (TCM)

Geospatial analytics bull Find trends over time and space using spatio-temporal

prediction (STP) bull Create association rules that incorporate geospatial

attributes using the generalized spatial association rule (GSAR)

Improved productivity bull Improved categorical principal component analysis with

non-parametric bootstrapping clustering of case and new rotation options for better convergence

bull Programmability enhancements for R with the ability to test programs using features of the R integrated development environment for easy debugging

bull Next generation of web output with more interactivity and functionality with web server support

bull Improved accessibility with the ability to import read and write new version of Stata files

bull Faster performance with bulk exportinsert to database bull Support to authenticate with a badge reader

IBM SPSS Statistics

5

Data SheetIBM Analytics

Features added in IBM SPSS Statistics 22 bull Easier model specification in IBM SPSS Statistics Amos bull Interactive output on smart devices bull Presentation-ready output bull More powerful Monte Carlo Simulation with support for

simulating strings automatic linear modeling and heat maps

bull Integration with IBMreg Cognosreg TM1 bull Improved performance and scalability using SPSS Statistics

server with SQL pushback bull Python plug-in as part of main installation bull Search for download and install available programming

extensions from within extensions bull Use a simplified method to specify user-defined estimands

in SPSS Amos bull Benefit from improved logging support for Enterprise

Standard in the Platform Standards bull Enable other applications to readwrite encrypted statistics

data files with IO dll bull Generate pivot table output for non-parametric procedures

Features added in IBM SPSS Statistics 21 bull Monte Carlo simulation for building better models to

uncertain inputs bull Ability to compare two data files or data sets to ensure

the data values and records are compatible bull Password protection of data and output files (encryption)

to prevent others from seeing confidential information bull Improved and faster file merging bull Enhanced pivot tables with new features such as easier

navigation and sorting operations

for structural equation modeling (SEM) bull Programming in SPSS Statistics with a Java plug-in bull Ability to import IBM Cognos Business Intelligence data

into SPSS Statistics for additional analysis bull Exporting of output to Microsoft Excel 20072010 bull Better scalability and performance with load balancing

with IBM SPSS Collaboration and Deployment Services bull Single sign-on between SPSS Statistics client and server bull For security restricted environments the option to run

SPSS Statistics server as a non-root user on UNIXLINUX bull Compression of data files for increased storage space bull Version compatibility to support new clients with old

servers and vice versa such as client V21 and server V20 OR client V20 and server V21

Features added in IBM SPSS Statistics 20 bull Pre-built map templates and support for ESRI files in

SPSS Statistics Base bull Faster pivot table output bull GLMM procedure in IBM SPSS Advanced Statistics can

be run with ordinal values bull Non-graphical programmatic method for specifying

models in SPSS Amos bull Run SPSS Statistics Server jobs offline by disconnecting

the SPSS Statistics client bull Compress temporary files created by the sort procedure

within SPSS Statistics Server to save disk space when sorting large files

IBM SPSS Statistics

6

Data SheetIBM Analytics

Features added in IBM Statistics 19 Features added in IBM SPSS Statistics 18 bull Automatic Linear Models (ALM) gives non-specialist users

the tools to build powerful linear models automatically and predict numerical outcomes

bull Generalized Linear Mixed Models (GLMM) in SPSS Advanced Statistics lets you create more accurate models for predicting non-linear outcomes based on hierarchical nested data or data that includes repeated measures

bull Several new capabilities in IBM SPSS Direct Marketing bull Faster performing tables in SPSS Statistics Base bull More than a dozen performance and ease-of-use

enhancements to the Syntax Editor available in all products in the SPSS Statistics family

bull The Statistics portal provides internal or external users with interactive online access to analysis (requires SPSS Statistics Server and SPSS Collaboration and Deployment Services)

bull Compiled transformations is a feature in SPSS Statistics Server that improves the performance of SPSS Statistics programs that execute a large number of data transformations

bull Analysts using SPSS Statistics Base can score customer data access pre-built models and interface directly with data in Salesforcecom

bull Pivot columns and cross tabulations in SPSS Statistics Base and IBM SPSS Custom Tables

bull Work with smaller and sparse datasets on Linux and Mac operating systems in IBM SPSS Exact Tests

bull Run SPSS Statistics Base Server on IBMreg System zreg

(requires SuSE Linux)

bull Prepare data in a single step using the new Automated Data Preparation feature

bull New Non-parametric tests in SPSS Statistics Base bull Post computed categories in SPSS Custom Tables bull SPSS Direct Marketing module bull SPSS Bootstrapping module bull Rule checking on Secondary SPC Charts bull IBM SPSS Statistics Developer bull Ability to view significance tests in the main results table

in SPSS Custom Tables bull Interactive Model Viewer on Two-Step Cluster Analysis

and Automated Data Preparation procedures bull Improved display of large pivot tables bull Improved performance on procedures within SPSS

Statistics Base Server for Frequencies Descriptives Crosstabs

bull Support for 64-bit hardware on desktop for Windows and Mac

bull Support for Snow Leopard on Mac OS X 106

For more information To learn more about the IBM SPSS Statistics please contact your IBM representative or IBM Business Partner or visit the following website ibmcommarketplacecloudstatistical-analysis-and-reportingusen-us

IBM SPSS Statistics

5

Data SheetIBM Analytics

Features added in IBM SPSS Statistics 22 bull Easier model specification in IBM SPSS Statistics Amos bull Interactive output on smart devices bull Presentation-ready output bull More powerful Monte Carlo Simulation with support for

simulating strings automatic linear modeling and heat maps

bull Integration with IBMreg Cognosreg TM1 bull Improved performance and scalability using SPSS Statistics

server with SQL pushback bull Python plug-in as part of main installation bull Search for download and install available programming

extensions from within extensions bull Use a simplified method to specify user-defined estimands

in SPSS Amos bull Benefit from improved logging support for Enterprise

Standard in the Platform Standards bull Enable other applications to readwrite encrypted statistics

data files with IO dll bull Generate pivot table output for non-parametric procedures

Features added in IBM SPSS Statistics 21 bull Monte Carlo simulation for building better models to

uncertain inputs bull Ability to compare two data files or data sets to ensure

the data values and records are compatible bull Password protection of data and output files (encryption)

to prevent others from seeing confidential information bull Improved and faster file merging bull Enhanced pivot tables with new features such as easier

navigation and sorting operations

for structural equation modeling (SEM) bull Programming in SPSS Statistics with a Java plug-in bull Ability to import IBM Cognos Business Intelligence data

into SPSS Statistics for additional analysis bull Exporting of output to Microsoft Excel 20072010 bull Better scalability and performance with load balancing

with IBM SPSS Collaboration and Deployment Services bull Single sign-on between SPSS Statistics client and server bull For security restricted environments the option to run

SPSS Statistics server as a non-root user on UNIXLINUX bull Compression of data files for increased storage space bull Version compatibility to support new clients with old

servers and vice versa such as client V21 and server V20 OR client V20 and server V21

Features added in IBM SPSS Statistics 20 bull Pre-built map templates and support for ESRI files in

SPSS Statistics Base bull Faster pivot table output bull GLMM procedure in IBM SPSS Advanced Statistics can

be run with ordinal values bull Non-graphical programmatic method for specifying

models in SPSS Amos bull Run SPSS Statistics Server jobs offline by disconnecting

the SPSS Statistics client bull Compress temporary files created by the sort procedure

within SPSS Statistics Server to save disk space when sorting large files

IBM SPSS Statistics

6

Data SheetIBM Analytics

Features added in IBM Statistics 19 Features added in IBM SPSS Statistics 18 bull Automatic Linear Models (ALM) gives non-specialist users

the tools to build powerful linear models automatically and predict numerical outcomes

bull Generalized Linear Mixed Models (GLMM) in SPSS Advanced Statistics lets you create more accurate models for predicting non-linear outcomes based on hierarchical nested data or data that includes repeated measures

bull Several new capabilities in IBM SPSS Direct Marketing bull Faster performing tables in SPSS Statistics Base bull More than a dozen performance and ease-of-use

enhancements to the Syntax Editor available in all products in the SPSS Statistics family

bull The Statistics portal provides internal or external users with interactive online access to analysis (requires SPSS Statistics Server and SPSS Collaboration and Deployment Services)

bull Compiled transformations is a feature in SPSS Statistics Server that improves the performance of SPSS Statistics programs that execute a large number of data transformations

bull Analysts using SPSS Statistics Base can score customer data access pre-built models and interface directly with data in Salesforcecom

bull Pivot columns and cross tabulations in SPSS Statistics Base and IBM SPSS Custom Tables

bull Work with smaller and sparse datasets on Linux and Mac operating systems in IBM SPSS Exact Tests

bull Run SPSS Statistics Base Server on IBMreg System zreg

(requires SuSE Linux)

bull Prepare data in a single step using the new Automated Data Preparation feature

bull New Non-parametric tests in SPSS Statistics Base bull Post computed categories in SPSS Custom Tables bull SPSS Direct Marketing module bull SPSS Bootstrapping module bull Rule checking on Secondary SPC Charts bull IBM SPSS Statistics Developer bull Ability to view significance tests in the main results table

in SPSS Custom Tables bull Interactive Model Viewer on Two-Step Cluster Analysis

and Automated Data Preparation procedures bull Improved display of large pivot tables bull Improved performance on procedures within SPSS

Statistics Base Server for Frequencies Descriptives Crosstabs

bull Support for 64-bit hardware on desktop for Windows and Mac

bull Support for Snow Leopard on Mac OS X 106

For more information To learn more about the IBM SPSS Statistics please contact your IBM representative or IBM Business Partner or visit the following website ibmcommarketplacecloudstatistical-analysis-and-reportingusen-us

IBM SPSS Statistics

6

Data SheetIBM Analytics

Features added in IBM Statistics 19 Features added in IBM SPSS Statistics 18 bull Automatic Linear Models (ALM) gives non-specialist users

the tools to build powerful linear models automatically and predict numerical outcomes

bull Generalized Linear Mixed Models (GLMM) in SPSS Advanced Statistics lets you create more accurate models for predicting non-linear outcomes based on hierarchical nested data or data that includes repeated measures

bull Several new capabilities in IBM SPSS Direct Marketing bull Faster performing tables in SPSS Statistics Base bull More than a dozen performance and ease-of-use

enhancements to the Syntax Editor available in all products in the SPSS Statistics family

bull The Statistics portal provides internal or external users with interactive online access to analysis (requires SPSS Statistics Server and SPSS Collaboration and Deployment Services)

bull Compiled transformations is a feature in SPSS Statistics Server that improves the performance of SPSS Statistics programs that execute a large number of data transformations

bull Analysts using SPSS Statistics Base can score customer data access pre-built models and interface directly with data in Salesforcecom

bull Pivot columns and cross tabulations in SPSS Statistics Base and IBM SPSS Custom Tables

bull Work with smaller and sparse datasets on Linux and Mac operating systems in IBM SPSS Exact Tests

bull Run SPSS Statistics Base Server on IBMreg System zreg

(requires SuSE Linux)

bull Prepare data in a single step using the new Automated Data Preparation feature

bull New Non-parametric tests in SPSS Statistics Base bull Post computed categories in SPSS Custom Tables bull SPSS Direct Marketing module bull SPSS Bootstrapping module bull Rule checking on Secondary SPC Charts bull IBM SPSS Statistics Developer bull Ability to view significance tests in the main results table

in SPSS Custom Tables bull Interactive Model Viewer on Two-Step Cluster Analysis

and Automated Data Preparation procedures bull Improved display of large pivot tables bull Improved performance on procedures within SPSS

Statistics Base Server for Frequencies Descriptives Crosstabs

bull Support for 64-bit hardware on desktop for Windows and Mac

bull Support for Snow Leopard on Mac OS X 106

For more information To learn more about the IBM SPSS Statistics please contact your IBM representative or IBM Business Partner or visit the following website ibmcommarketplacecloudstatistical-analysis-and-reportingusen-us

IBM SPSS Statistics

7

Data SheetIBM Analytics

About IBM Analytics IBM Analytics software delivers data-driven insights that help organizations work smarter and outperform their peers This comprehensive portfolio includes solutions for business intelligence predictive analytics and decision management performance management and risk management

IBM Analytics solutions enable companies to identify and visualize trends and patterns in areas such as customer analytics that can have a profound effect on business performance They can compare scenarios anticipate potential threats and opportunities better plan budget and forecast resources balance risks against expected returns and work to meet regulatory requirements By making analytics widely available organizations can align tactical and strategic decision-making to achieve business goals For further information please visit ibmcomanalytics

Request a call To request a call or to ask a question go to ibmcomanalyticscontactus An IBM representative will respond to your inquiry within two business days

copy Copyright IBM Corporation 2016

IBM Analytics Route 100 Somers NY 10589

Produced in the United States of America March 2016

IBM the IBM logo ibmcom SPSS Cognos and System z are trademarks of International Business Machines Corp registered in many jurisdictions worldwide Other product and service names might be trademarks of IBM or other companies A current list of IBM trademarks is available on the Web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml

Microsoft Windows Windows NT and the Windows logo are trademarks of Microsoft Corporation in the United States other countries or both

Linux is a registered trademark of Linus Torvalds in the United States other countries or both

UNIX is a registered trademark of The Open Group in the United States and other countries

Java and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle andor its affiliates

This document is current as of the initial date of publication and may be changed by IBM at any time Not all offerings are available in every country in which IBM operates

THE INFORMATION IN THIS DOCUMENT IS PROVIDED ldquoAS ISrdquo WITHOUT ANY WARRANTY EXPRESS OR IMPLIED INCLUDING WITHOUT ANY WARRANTIES OF MERCHANTshyABILITY FITNESS FOR A PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION OF NON-INFRINGEMENT IBM products are warranted according to the terms and conditions of the agreements under which they are provided

Please Recycle

YTD03023-USEN-10

copy Copyright IBM Corporation 2016

IBM Analytics Route 100 Somers NY 10589

Produced in the United States of America March 2016

IBM the IBM logo ibmcom SPSS Cognos and System z are trademarks of International Business Machines Corp registered in many jurisdictions worldwide Other product and service names might be trademarks of IBM or other companies A current list of IBM trademarks is available on the Web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml

Microsoft Windows Windows NT and the Windows logo are trademarks of Microsoft Corporation in the United States other countries or both

Linux is a registered trademark of Linus Torvalds in the United States other countries or both

UNIX is a registered trademark of The Open Group in the United States and other countries

Java and all Java-based trademarks and logos are trademarks or registered trademarks of Oracle andor its affiliates

This document is current as of the initial date of publication and may be changed by IBM at any time Not all offerings are available in every country in which IBM operates

THE INFORMATION IN THIS DOCUMENT IS PROVIDED ldquoAS ISrdquo WITHOUT ANY WARRANTY EXPRESS OR IMPLIED INCLUDING WITHOUT ANY WARRANTIES OF MERCHANTshyABILITY FITNESS FOR A PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION OF NON-INFRINGEMENT IBM products are warranted according to the terms and conditions of the agreements under which they are provided

Please Recycle

YTD03023-USEN-10