SPSS Modeler is a leading visual data science and machine-learning solution. Organizations worldwide rely on SPSS Modeler for data preparation and discovery, predictive analytics, model management and deployment, and machine learning to monetize data assets. It's suited for hybrid environments that need to meet robust governance and security requirements. Available stand-alone or as part of IBM Watson® Studio, SPSS Modeler helps you: - Take advantage of open source-based innovation, including R or Python - Empower data scientists of all skills — programmatic and visual - Exploit a hybrid approach — on premises and public or private cloud

Accessing data sources with IBM SPSS Modeler

5 minute demo

In this video, learn how to access a variety of data sources and merge them with IBM SPSS Modeler

Manipulating data with IBM SPSS Modeler

6 minute demo

In this video, learn how you can manipulate data in a stream and ready it for analysis with IBM SPSS Modeler

Creating data science models with IBM SPSS Modeler

7 minute demo

In this video, learn how you can analyze your data and create data science models with IBM SPSS Modeler.

Deploying results with IBM SPSS Modeler

4 minute demo

In this video, learn how the models you have developed and validated in IBM SPSS Modeler can be put to use.

Tour IBM SPSS Modeler: Create a predictive model to predict customer churn

Get experience with IBM SPSS Modeler by creating a decision-tree machine-learning model to evaluate the risk that a customer might leave your service.

  • Inspect and prepare the customer churn data set.
  • Train a machine-learning model.
  • Evaluate and visualize the model performance.

15-30 minute introduction