Improve outcomes and decisions with predictive analytics
IBM® SPSS® Modeler is a predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. It provides a range of advanced algorithms and techniques, including text analytics, entity analytics, decision management and optimization, to help you select the actions that result in better outcomes. Available in several editions, including a cloud-based version, SPSS Modeler can scale from desktop deployments to integration within operational systems.
SPSS Modeler is designed to:
SPSS Modeler screenshots
Choose from three automated modeling methods: Auto Classifier, Auto Numeric and Auto Cluster.
Capture key concepts, themes, sentiments and trends and ultimately improve the accuracy of your predictive models.
Entity analytics improves the coherence and consistency of data by resolving like entities even when the entities do not share any key values.
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).
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.
Visualization of a Spatio-Temporal model
Geospatial association rules
Visualizing geospatial association rules
Geospatial source node
New geospatial source node and data preparation capabilities allow users to take advantage of ESRI shape files as input to predictive models.
Improve decisions and outcomes
Extract value from data
More easily integrate into your existing systems