SPSS and open source seamlessly complement each other. With open source, IBM makes it easy to build your own extensions, adding new functionality to existing products. Coding is not required for the use of extensions. IBM offers an extensive library of already developed extensions that can be downloaded and used immediately.
In today’s world, the data is flowing from all directions: social media, phones, weather, location and sensor equipped devices, and more. Competing in this digital age requires the ability to analyze all of this data, and use it to drive decisions that mitigate risk, increase customer satisfaction and grow revenue. Using a combination of proprietary software and open source technology can give your data scientists and statisticians the analytical power they need to find and act on insights quickly.
IBM® SPSS® Statistics provides all of the data analysis tools you need, and integrates with thousands of R extensions for maximum power and flexibility. In this next Data Science Central Webinar event, we will show how SPSS Statistics can help you keep up with the influx of new data and make faster, better business decisions without coding.
While spreadsheets are widely used for statistical analysis, they are useful only to a certain point. When used for a task they’re not designed to perform, or for a task beyond the limit of their capabilities, using spreadsheets can be risky. Read this paper to learn about more powerful yet easy-to-use analytics alternatives that may be more suitable.
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