IBM® SPSS® Statistics

Create more reliable models and generate more accurate results

IBM® SPSS® Bootstrapping is an efficient way to ensure that analytical models are reliable and will produce accurate results. It can be used to test the stability of analytical models and procedures found throughout the IBM® SPSS® Statistics product family, including descriptive, means, crosstabs, correlations, regression and many others.

Predict outcomes and reveal relationships in categorical data

IBM® SPSS® Categories makes it easy to visualize and explore relationships in your data and predict outcomes based on your findings. Using advanced techniques, such as predictive analysis, statistical learning, perceptual mapping and preference scaling, you can understand which characteristics consumers relate most closely to your product or brand, and learn how they perceive your products in relation to others.

Analyze statistical data and interpret survey results from complex samples

IBM® SPSS® Complex Samples helps market researchers, public opinion researchers and social scientists make more statistically valid inferences by incorporating sample design into their survey analysis. IBM® SPSS® Complex Samples provide the specialized planning tools and statistics you need when working with complex sample designs, such as stratified, clustered or multistage sampling.

Understand and measure purchasing decisions

IBM® SPSS® Conjoint helps market researchers increase their understanding of consumer preferences so they can more effectively design, price and market successful products. It enables them to model the consumer decision-making process so they can design products with the features and attributes most important to their target market.

Analyze your data with custom tables created in less time

IBM® SPSS® Custom Tables makes it easy to summarize IBM® SPSS® Statistics data in different styles for different audiences. It combines analytical capabilities to help you learn from your data with features that allow you to build tables people can easily read and interpret.

This software is useful for anyone who creates and updates reports on a regular basis, especially those who work in survey or market research, the social sciences, database or direct marketing and institutional research.

Improve data preparation for more accurate results

IBM® SPSS® Data Preparation performs advanced techniques that streamline the data preparation stage of the analytical process to deliver faster, more accurate data analysis results. Analysts can choose from a completely automated data preparation procedure for the fastest results, or select from several other methods to help prepare more challenging data sets.

Easily identify groups and predict outcomes

IBM® SPSS® Decision Trees helps you better identify groups, discover relationships between them and predict future events. This module features highly visual classification and decision trees that enable you to present categorical results in an intuitive manner, so you can more clearly explain categorical analysis to non-technical audiences. It includes four tree-growing algorithms, giving you the ability to try different types and find the one that best fits your data.

Easily identify the right customers and improve campaign results

IBM® SPSS® Direct Marketing helps you understand your customers in greater depth, improve your marketing campaigns and maximize the ROI of your marketing budget. Conduct sophisticated analyses of your customers or contacts easily – and with a high level of confidence in your results. Choose from recency, frequency and monetary value (RFM) analysis, cluster analysis, prospect profiling, postal code analysis, propensity scoring and control package testing.

Accurately analyze small data sets or those with rare occurrences

IBM® SPSS® Exact Tests enables you to use small samples and still feel confident about the results. If you have a small number of case variables with a high percentage of responses in one category, or have to subset your data into fine breakdowns, traditional tests could be incorrect. IBM® SPSS® Exact Tests eliminates this risk.

Build expert forecasts—in a flash

IBM® SPSS® Forecasting enables analysts to predict trends and develop forecasts quickly and easily—without being an expert statistician. People new to forecasting can create sophisticated forecasts that take into account multiple variables, and experienced forecasters can use IBM® SPSS® Forecasting to validate their models. You get the information you need faster because the software helps you every step of the way.

Build better models when you estimate missing data

IBM® SPSS® Missing Values software is used by survey researchers, social scientists, data miners, market researchers and others to validate data. The software allows you to examine data to uncover missing data patterns, then estimate summary statistics and impute missing values using statistical algorithms.

Find more complex relationships in your data

IBM® SPSS® Neural Networks software offers nonlinear data modeling procedures that enable you to discover more complex relationships in your data. The software lets you set the conditions under which the network learns. You can control the training stopping rules and network architecture, or let the procedure automatically choose the architecture for you.

Improve the accuracy of predictions with advanced regression procedures

IBM® SPSS® Regression software enables you to predict categorical outcomes and apply a range of nonlinear regression procedures. You can apply the procedures to business and analysis projects where ordinary regression techniques are limiting or inappropriate—such as studying consumer buying habits, responses to treatments or analyzing credit risk.

The integrated family of products that sets the standard for analysis, IBM® SPSS® Statistics, addresses the entire process - from planning to data collection to analysis, reporting and deployment. With more than a dozen fully integrated modules to choose from, you can choose the specialized capabilities you need to increase revenue, outperform competitors, conduct research and make better decisions.