IBM SPSS Statistics Professional Edition

• Linear models – Make your analysis more accurate and reach more dependable conclusions to drive decision-making
• Nonlinear models – Have the ability to apply more sophisticated models to your data
• Customized tables – Quickly slice and dice your data for easy analysis and reporting
• Data preparation – Prevent outliers from skewing analyses and results
• Address data validity and missing values – increase the chance of receiving statistically significant results
• Decision trees – Better identify groups, discover relationships between groups and predict future events
• Forecasting – Deliver information in ways that your organization’s decision makers can understand and use

IBM SPSS Statistics Professional helps both professional analysts and business users easily accomplish tasks at every phase of the analytical process and enables you to step seamlessly from one task to the next.

Data preparation
IBM SPSS Statistics Professional helps you streamline the data preparation stage of the analytical process – saving time and ensuring greater accuracy. Perform data checks based on each variable's measure level, quickly find multivariate outliers by searching for unusual cases based upon deviations from similar cases and preprocess data prior to model building with an optimal binning procedure.

Data validity and missing values
This edition includes critical tools for addressing data validity and missing values:

• Uncover missing data patterns by examining data from several different angles, using one of six diagnostic tests, and quickly generate a report highlighting serious missing data problems
• Reach more valid conclusions by replacing missing values with estimates – increasing the chance of receiving statistically significant results.
• Use the multiple imputation procedure to replace missing data values to better understand patterns of “missingness” in your dataset and enable you to replace missing values with plausible estimates

Analysis of both categorical and numerical data
Obtain clear insight into complex categorical and numeric data, as well as high-dimensional data. The edition includes procedures to visually interpret datasets and see how rows and columns relate in large tables of scores, counts, ratings, rankings or similarities. It includes a variety of advanced statistical operations on categorical data to turn qualitative variable into quantitative ones. You can also use perceptual maps and biplots to graphically display underlying relationships using dimension reduction techniques to clarify complex relationships in your data for better decision making.

Decision trees
Create classification and decision trees to help you better identify groups, discover relationships between groups and predict future events. Decision trees present categorical results in an intuitive manner, allowing you to explore results and visually determine how your model flows, and then clearly explain categorical results to non-technical audiences. You can also find specific subgroups and relationships that you might not uncover using more traditional statistics.

Forecasting
Predict trends and develop forecasts quickly and easily with advanced statistical techniques to work with time-series data. Regardless of your level of experience, you can analyze historical data and predict trends faster and deliver information in ways that your organization’s decision makers can understand and use. Key features enable you to:

• Save models (e.g. XML) to a central file so that forecasts can be updated when data changes, without having to re-set parameters or re-estimate the model
• Write scripts so that models can be updated with new data automatically

Be ready for tough analytical challenges with IBM SPSS Statistics Professional. Get the tools you need to speed through the entire analytical lifecycle and achieve reliable results you can share with others. Contact your sales representative to learn more – and ask about our informative webcasts and newsletters on predictive analytics.

IBM SPSS Statistics 19 for Windows

• Operating system: Microsoft Windows XP (Professional, 32-bit) or Vista® (Home, Business, 32- or 64-bit), Windows 7 (32- or 64-bit)*
• Hardware:
  • Intel® or AMD x86 processor running at 1GHz or higher
  • Memory: 1GB RAM or more recommended
  • Minimum free drive space: 800MB
  • DVD drive
  • Super VGA (800x600) or higher-resolution monitor
• For connecting with IBM SPSS Statistics Server, a network adapter running the TCP/IP network protocol
• Web browser: Internet Explorer 7 or 8

IBM SPSS Statistics 19 for Mac

• Operating system: Apple® Mac 10.5x (Leopard™) and 10.6x (Snow Leopard™), 32- and 64-bit
• Hardware:
  • Intel processor (32- and 64-bit)
  • Memory: 1GB RAM or more recommended
  • Minimum free drive space: 800MB
  • DVD drive
  • Super VGA (800x600) or higher-resolution monitor
• Web browser: Mozilla® Firefox® 2.x and 3.x

IBM SPSS Statistics 19 for Linux

• Operating system: Any Linux OS that meets the following requirements (32 bit only):
  • Kernel 2.6.3
  • glibc 2.8
  • libstdc++5
  • XFree86-4.7
• Hardware:
  • Processor: Intel or AMD x86 processor running at 1GHz or higher
  • Memory: 1GB RAM or more recommended
  • Minimum free drive space: 800MB
  • DVD drive
  • Super VGA (800x600) or a higher-resolution monitor
• Web browser: Mozilla® Firefox® 2.x and 3.x

* Windows 2000 is not a supported platform.