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Open Source and IBM SPSS Modeler

A successful data-driven organization has to provide the right tools for its data analysts, developers, and business end users. Increasingly, this means leveraging open-source software. The R or Python programming languages, along with the Apache Spark and Hadoop data frameworks, are preferred open-source tools for many modern analysts and developers. But for all their benefits, popular open-source data programs also come with potentially time-consuming drawbacks.

Read this IBM Analytics paper to find out how to handle these drawbacks:

  • Getting the right data tools to the right people
  • Leveraging popular open source tools with IBM® SPSS® Modeler software
  • Developing open source capabilities

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