The Cost-Effective Benefits of CRISP-DM in IBM SPSS Modeler

IBM SPSS Modeler is an extensive predictive analytics platform designed to bring predictive intelligence to decisions made by individuals, groups, systems, and the enterprise. IBM SPSS Modeler has an easy-to-use drag-and-drop user interface with a complete set of tools for accessing data, data examination, preparation, modelling, evaluation, and deployment.  

IBM SPSS Modeler users have a complete toolset to build predictive models from start to finish. Modeler uses node-based, visual programming. Users pick nodes from palettes and place them on the stream canvas. Once nodes have been placed on the stream canvas and edited, they can be linked to form a stream. A stream represents a flow of data through several operations (nodes) to a destination that can be in the form of output (either text or chart), a model, or the export of data to another format (e.g., a database).  

The SPSS team at Version 1 provides extensive Modeler training, offering both express and longer courses. Training can also be customised for individual users and groups.  

In this two-hour course, we will introduce course attendees to CRISP-DM. CRISP-DM is a cross-industry standard methodology that provides a step-by-step project plan for analytics and data science projects. CRISP_DM is also integrated into the user interface of Modeller, allowing users to structure their work following this methodology.  

This course will cover the following topics:

• Overview of CRISP-DM
• Steps of the business understanding phase
• Steps of the data understanding phase
• Steps of the data preparation phase
• Steps of the modelling phase
• Steps of the evaluation phase
• Steps of the deployment phase
• Why is CRISP-DM cost-effective?
• Using CRISP-DM in IBM SPSS Modeler

Course attendees will receive sample data files and step-by-step exercises that can be completed following the course.

Best for: Anyone who wants a complete breakdown of CRISP-DM, its phases and its value.