IBM SPSS Modeler

Drive ROI with a drag-and-drop data science tool

From drag-and-drop data exploration to machine learning

SPSS Modeler is a leading visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations worldwide use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets.

This solution is 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



Support for many data sources

Easy model deployment

Automatic data preparation

Powerful graphics engine

Visual analysis streams

Automated modeling

A range of algorithmic methods

Text analytics

Geospatial analytics

Support for open-source technologies

Machine learning methods and algorithms

Multiple deployment methods

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