IBM SPSS

IBM SPSS Statistics is designed to you to understand data, analyse trends, forecast and plan to validate assumptions and drive accurate conclusions. ​IBM SPSS Statistics is a fast and powerful solution for Predictive Analytics, Data Science and AI.

IBM SPSS Statistics is leading statistical software used to solve a variety of business and research problems. It provides a range of techniques including ad-hoc analysis, hypothesis testing and reporting – IBM SPSS Statistics making it easier to manage data, select and perform analysis and share your results. 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 IBM SPSS 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.

IBM SPSS Statistics Software Solution

 

IBM SPSS Statistics is an integrated family of products that addresses the entire analytical process, from planning to data collection to analysis, reporting and deployment. Find the specialist capabilities you need for data-driven decision making & Business Insights.

 

IBM SPSS Statistics – A Comprehensive set of statistical tools – Work inside a single, integrated interface to run descriptive statistics, regression, advanced statistics and more. Create publication-ready charts, tables and decision trees in one tool.

 

Easy statistical analysis – Use a simple drag and drop interface to access a range of capabilities, and work across multiple data sources. Also enjoy flexible deployment options for purchasing and managing your software.

 

Integration with Open Source – Enhance SPSS Syntax with R and Python through specialized extensions. Leverage 130+ extensions on our extension hub, or build your own and share with peers to create a customized solution.

IBM SPSS

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