IBM SPSS Modeler is a leading visual data science and machine learning tool designed to help organizations accelerate time to value by speeding up operational tasks for data scientists. It is widely used for data preparation and discovery, predictive analytics, model management and deployment, and machine learning to monetize data assets.

Features

• Automatic data preparation: SPSS Modeler automatically transforms data into the best format for the most accurate predictive modeling.
• Easy model deployment: Save and deploy models from popular machine learning frameworks like Scikit-learn, TensorFlow, and SPSS Modeler.
• Powerful graphics engine: SPSS Modeler’s graphics engine brings insights to life with smart chart recommendations.
• Visual analysis streams: Streamline data analysis with a few clicks to identify fixes, screen out fields, and derive new attributes.
• Machine learning methods and algorithms: Supports decision trees, neural networks, regression models, and more advanced techniques.
• Support for open-source technologies: Extends and complements R, Python, Spark, and Hadoop for advanced analytics.

Use Cases

• Optimize logistics and prevent failures: SPSS Modeler can predict potential maintenance issues or optimize routes, reducing error-prone manual processes and operational waste.
• Build new offers and innovate business models: With data preparation and machine learning algorithms, SPSS Modeler can help create new offers, drive channel performance, and optimize business processes for improved team productivity.