Build predictive models and score transactional data in real time

IBM® SPSS® Modeler is a powerful, versatile data mining workbench that enables organizations to build accurate predictive models and then rapidly deploy them, all without programming.

IBM SPSS Modeler for Linux on System z merges the predictive power of SPSS Modeler with the performance, security and scalability of the System z platform. This combination enables organizations to extract insights from their high-volume transactional applications running on DB2 for z/OS, and use those insights to make smart, proactive decisions. With SPSS Modeler for Linux on System z, businesses can create models and score new transactional data in real time, reducing the cost and complexity of operational decision-making.

SPSS Modeler for Linux on System z has features to help you:

Automated modeling

Choose from three automated modeling methods: Auto Classifier, Auto Numeric and Auto Cluster.

Automated modeling

Text analytics

Capture key concepts, themes, sentiments and trends and ultimately improve the accuracy of your predictive models.

Text analytics

Entity analytics

Entity analytics improves the coherence and consistency of data by resolving like entities even when the entities do not share any key values.

Entity analytics

Social network analysis

Social network analysis examines the relationships between social entities and the implications of these relationships on an individual’s behavior. It is particularly useful for those in telecommunications and other industries concerned about attrition (or churn).

Social network analysis

Deployment

Deployment bridges the gap between analytics and action by providing results to people and processes on a schedule or in real time, and enables organizations to realize the full benefit of predictive analytics.

Deployment

IBM SPSS Modeler for Linux on System z Screenshots

Previous

Automated modeling

Choose from three automated modeling methods: Auto Classifier, Auto Numeric and Auto Cluster.

Automated modeling

Text analytics

Capture key concepts, themes, sentiments and trends and ultimately improve the accuracy of your predictive models.

Text analytics

Entity analytics

Entity analytics improves the coherence and consistency of data by resolving like entities even when the entities do not share any key values.

Entity analytics

Social network analysis

Social network analysis examines the relationships between social entities and the implications of these relationships on an individual’s behavior. It is particularly useful for those in telecommunications and other industries concerned about attrition (or churn).

Social network analysis

Deployment

Deployment bridges the gap between analytics and action by providing results to people and processes on a schedule or in real time, and enables organizations to realize the full benefit of predictive analytics.

Deployment
Next

Easily access, manage and integrate data

Rapidly build and validate models

Perform data mining and text analysis

Automate model execution and deploy results

Integrate with transactional applications running on IBM DB2® for z/OS

Buy SPSS Modeler for Linux on System z

Build predictive models and score transactional data in real time

IBM Software Subscription and Support is included in the product price for the first year.

Download software online after purchase - no shipping costs!

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