IBM SPSS Modeler | FutureHurry
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Main Purpose

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

Key Features

  • Open Source Integration: Take advantage of open-source-based innovation, including R or Python.
  • Hybrid Approach: Explore a hybrid approach by using SPSS Modeler on premises and in the public or private cloud.
  • Empower Data Scientists: Empower data scientists of all skills, both programmatic and visual, to work effectively.
  • Scalability: Start small and scale to an enterprise-wide, governed approach.

Use Case

  • Data Preparation and Discovery: SPSS Modeler helps in preparing and exploring data to uncover insights and patterns.
  • Predictive Analytics: It enables the development and deployment of predictive models for making data-driven decisions.
  • Model Management and Deployment: SPSS Modeler provides capabilities for managing and deploying models into production environments.
  • Machine Learning: It supports machine learning tasks, allowing organizations to leverage ML algorithms for advanced analytics.
Pricing Model:

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