What is IBM SPSS Modeler?
IBM SPSS Modeler is a 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 can use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets.
Categories & Use Cases
Media
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Top Performing Features
Automatic Data Format Detection
Automatic detection of data formats and schemas
Category average: 9.2
MDM Integration
Integration with MDM and metadata dictionaries
Category average: 7.8
Visualization
The product’s support and tooling for analysis and visualization of data.
Category average: 8.2
Areas for Improvement
Security, Governance, and Cost Controls
Built-in controls to mitigate compliance and audit risk with user activity tracking
Category average: 8.5
Connect to Multiple Data Sources
Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion
Category average: 8.7
Extend Existing Data Sources
Use R or Python to create custom connectors for any APIs or databases
Category average: 8.9
