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IBM Planning Analytics v2.1.x: Design and Develop Models in PAW

Learn how to design and build a complete model using IBM Planning Analytics Workspace

 

This course teaches modelers how to design and build a complete model using IBM Planning Analytics Workspace.

 

Learners progress through the full modeling lifecycle, starting with an overview of Planning Analytics architecture and continuing through dimension design, cube construction, data loading, and business rule development.

 

The course emphasizes modeling best practices and performance considerations using Planning Analytics version 2.1.x.

 

Through a combination of instructor-led explanations and hands-on exercises, learners create and enhance a working model that reflects common planning and analysis scenarios.

 

Topics include TurboIntegrator processes for loading and maintaining data, rules and feeders for advanced calculations, and techniques for optimizing model performance.

The course also covers advanced modeling capabilities such as drill-through paths, currency conversion, and time modeling for different fiscal requirements.

 

By the end of the course, learners will be able to build scalable, maintainable models that support planning, forecasting, and reporting use cases in Planning Analytics Workspace.

 

NB : Updated June2026

Virtual Learning

This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.

Delivery Format

  • Company Event

    Event at company

  • Virtual Learning

    Learning that is virtual

1 courses found

    • Delivery Format: Virtual Learning
    • Date 04-06 November, 2026 | 9:30 AM to 5:30 PM
    • Location: Virtual (Eastern Standard Time)
    • Language: English

    $2,685.00

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