IBM SPSS Modeler

Data Management

IBM SPSS Modeler

Accelerate Enterprise Data Science with IBM SPSS Modeler

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About IBM SPSS Modeler

IBM SPSS Modeler is a leading visual data science tool that empowers organizations to unlock the value hidden in their data. With its intuitive drag-and-drop interface, users of all skill levels can effortlessly build predictive models and perform data preparation and discovery. The platform significantly accelerates the time to value, allowing enterprises to quickly derive actionable insights and drive better business outcomes. One of the standout features of IBM SPSS Modeler is its support for open-source languages like R and Python, giving data scientists the flexibility to integrate their preferred tools and methods. The tool also offers robust deployment options, being available within IBM Cloud Pak for Data – a containerized data and AI platform. This ensures that models can be efficiently run on any cloud or on-premises environment, offering unmatched versatility and scalability. Enterprises can start small and expand as needed, leveraging IBM SPSS Modeler's hybrid approach which supports both on-premises and cloud-based environments. This flexibility, combined with features for model management, deployment, and governance, makes IBM SPSS Modeler an essential tool for organizations looking to stay competitive in a data-driven world.

Key Features

  • Data preparation and discovery
  • Predictive analytics
  • Model management and deployment
  • Open-source support (R/Python)
  • Hybrid cloud and on premises support
  • Seamless integration with IBM Cloud Pak for Data
  • User-friendly drag-and-drop interface
  • Support for data scientists of all skill levels
  • Scalability from small projects to enterprise-wide applications
  • New features in SPSS Modeler v18.5

Tags

data sciencemachine learningpredictive analyticsdata preparationmodel managementdeploymentIBM Cloud Pak for Dataopen-source

FAQs

What is IBM SPSS Modeler?
IBM SPSS Modeler is a visual data science and machine learning solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists.
What are some key features of IBM SPSS Modeler?
IBM SPSS Modeler offers features like data preparation, predictive analytics, model management, deployment, open-source support (R/Python), and a hybrid approach across any cloud or on premises.
Where can IBM SPSS Modeler be used?
IBM SPSS Modeler can be used within IBM Cloud Pak for Data, on any cloud, or on premises. It supports hybrid operational environments.
Who can benefit from using IBM SPSS Modeler?
Data scientists of all skill levels, from novice to expert, can benefit from using IBM SPSS Modeler due to its combination of visual and programmatic interfaces.
What industries use IBM SPSS Modeler?
Various industries including finance, healthcare, retail, and more use IBM SPSS Modeler for data preparation, predictive analytics, and monetizing data assets.
How can I try IBM SPSS Modeler?
You can try IBM SPSS Modeler at no cost through IBM Cloud Pak for Data as a Service, which does not require any downloads.
What languages does IBM SPSS Modeler support for programming?
IBM SPSS Modeler supports programming languages like R and Python.
What is IBM Cloud Pak for Data?
IBM Cloud Pak for Data is a containerized data and AI platform that allows you to build and run predictive models anywhere, on any cloud or on premises, and it supports running IBM SPSS Modeler flows.
Can IBM SPSS Modeler scale to enterprise-level needs?
Yes, IBM SPSS Modeler is designed to start with small projects and scale to enterprise-wide, governed approaches.
What are the new features in SPSS Modeler v18.5?
The latest version, SPSS Modeler v18.5, includes all new features which enhance its data science and machine learning capabilities.