Learn about new and enhanced features within SPSS Statistics 28.

Predict outcomes and act on insights

IBM SPSS® predictive analytics products are offered in an easy-to-integrate, open-technology platform.

Product trials and tours

IBM SPSS Statistics

IBM SPSS Statistics is an integrated family of products that addresses the entire analytical process, from planning and data collection to analysis, reporting and deployment.

IBM SPSS Modeler

IBM SPSS Modeler is a predictive analytics platform that brings predictive intelligence to decisions made by individuals, groups, systems and enterprises.

IBM Watson Studio Desktop

IBM Watson® Studio Desktop empowers your data science and AI teams to refine data, visually build models, and deploy using data on the desktop for anytime, anywhere access.


IBM SPSS Amos enables you to more easily use structural equation modeling (SEM) to test hypotheses on complex variable relationships and gain new insights from data.


SPSS Statistics Tech Talks

Explore this webinar series for a deep dive into all the features introduced within SPSS Statistics 28.

Linear regression

Linear regression stimulates the coefficients of the linear equation, involving one or more independent variables that best predict the value of the dependent variable.

Logistic regression

In this analytics approach, the dependent variable is finite or categorical, either A or B (binary regression) or a range of finite options A, B, C or D (multinomial regression).

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