Getting started with SPSS Modeler

With SPSS Modeler, you can quickly develop predictive models and deploy them into business operations to improve decision making. SPSS Modeler offers modeling methods that are taken from machine learning, artificial intelligence, and statistics.

Use the advanced analytics embedded in SPSS Modeler to discover previously hidden patterns in your data and derive new information and business insights. You can model outcomes and understand the factors that influence them to develop predictive models, which can enable you to take advantage of business opportunities and mitigate risks.

The flows interface visualizes the data mining process so that you can build predictive models quickly and intuitively without programming. If you want to use scripting, you can use batch processing and automation to handle large volumes of data and data streaming.

Checking whether the service is installed

An administrator must install SPSS Modeler.

To check whether the service is installed:

  1. From the navigation menu, select Services > Services catalog.
  2. Search for SPSS Modeler.

If the service is installed and ready to use, the tile in the catalog shows Ready to use.

Accessing the service

Cloud Pak for Data watsonx™ Depending on the other services that are installed, SPSS Modeler is available from either of the IBM Cloud Pak® for Data experience or the IBM watsonx experience.

To create an SPSS Modeler project with example flows and sample files, use the sample project:

  1. Click Projects > View all projects.
  2. Click New project > Sample and search for SPSS.
  3. Click SPSS Modeler Project and then Next.

To create an SPSS Modeler flow from the project's Assets tab, click New asset > Build models as a visual flow.

Learn more

To learn more about SPSS Modeler, see the following topics based on the experience that is available in your environment:

IBM Cloud Pak for Data documentation
IBM watsonx documentation