The IBM® SPSS® software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open-source extensibility, integration with big data, and seamless deployment into applications.
Its ease of use, flexibility, and scalability make SPSS accessible to users of all skill levels. What’s more, it’s suitable for projects of all sizes and levels of complexity, and can help you and your organization find new opportunities, improve efficiency and minimize risk.
Within the SPSS software family of products, SPSS Statistics supports a top-down, hypothesis testing approach to your data while SPSS Modeler exposes patterns and models hidden in data through a bottom-up, hypothesis generation approach.
SPSS Modeler is also available on IBM Cloud Pak® for Data, a containerized data and AI platform that enables you to build and run predictive models anywhere — on any cloud and on-premises. It can be added as a service by itself, or it is included as part of IBM Watson® Studio Premium, a suite of software tools designed to help you accelerate the building and scaling of predictive models.
IBM Watson Studio.
Predict, Optimize and innovate anywhere with a suite of open source tools and IBM products including IBM SPSS Modeler, IBM Decision Optimization and Hadoop Execution Engine.
IBM SPSS Statistics GradPack and Faculty Packs
Predictive analytics software for students, teachers and researchers.
IBM SPSS Amos.
Easily use structural equation modelling (SEM) to test hypotheses on complex variable relationships and gain new insights from data.
IBM Watson Studio Desktop.
Explore data and build models with a 2020 Edison Award winner for analytics and predictive models. Use self-service, drag-and-drop data analytics from your desktop to gain insights faster.
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