IBM Planning Analytics v2.1.x: Design and Develop Models in PAW
Analytics · Data, Analytics, and AI
Course Overview
Learn to design, build, and optimize scalable models in IBM Planning Analytics Workspace 2.1.x, covering dimensions, cubes, TurboIntegrator, rules, feeders, and performance tuning.
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.
Who Should Attend
Analysts
Prerequisites
Participants should have the following: • A general understanding of business analytics or performance management concepts • Basic familiarity with IBM Planning Analytics terminology • Experience navigating web-based applications
IBM Digital Badge Available
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Course Details
- Course Code
- P8472G
- Level
- Basic
- Duration
- 3 days
- Brand
- Analytics
- Category
- Data, Analytics, and AI
Ready to Book?
Contact our IBM-certified training team for availability, group rates, and scheduling.
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