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IBM Planning Analytics v2.1.x: Design and Develop Models in PAW
Code:
P8472G
Duration:
3 Day
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$2685
USD
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This course teaches modelers how to design and build a complete model using IBM Planning Analytics Workspace.
Learners progress through the full modeling lifecycle, starting with an overview of Planning Analytics architecture and continuing through dimension design, cube construction, data loading, and business rule development.
The course emphasizes modeling best practices and performance considerations using Planning Analytics version 2.1.x.
Through a combination of instructor-led explanations and hands-on exercises, learners create and enhance a working model that reflects common planning and analysis scenarios.
Topics include TurboIntegrator processes for loading and maintaining data, rules and feeders for advanced calculations, and techniques for optimizing model performance.
The course also covers advanced modeling capabilities such as drill-through paths, currency conversion, and time modeling for different fiscal requirements.
By the end of the course, learners will be able to build scalable, maintainable models that support planning, forecasting, and reporting use cases in Planning Analytics Workspace.
NB : Updated June2026
This course is available in the following formats:
Duration: 3 Day
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Delivery Format: Virtual Classroom
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$ 2685 |
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Delivery Format: Virtual Classroom
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$ 2685 |
After completing this course, learners should be able to:
- Describe TM1 server architecture and in-memory processing
- Create and access a TM1 server using Planning Analytics Workspace
- Create and edit dimensions using Planning Analytics Workspace
- Design cubes based on business requirements
- Explain TurboIntegrator process components
- Combine rules and dimension structures to perform calculations
- Create effective feeder statements
- Use DB functions to link cubes with different dimensionality
- Enable users to navigate to related detail data
- Implement advanced rule-based modeling techniques
- Design maintainable currency conversion models
- Implement models that support rolling forecasts
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Will Be Updated Soon!
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Will Be Updated Soon!