IBM Planning Analytics: Design and Develop Models in Performance Modeler (v2.0)

1. Overview of IBM Planning Analytics

• Review financial performance management
• Identify the Planning Analytics position in a performance management system
• Describe the IBM Planning Analytics components and architecture
• Explore IBM Planning Analytics applications
• Explore the IBM Planning Analytics environment
• Manage and organize a model

2. Create and Customize Dimensions

• Review cubes, dimensions, and elements
• Create dimensions manually
• Import dimensions
• Edit dimensions
• Create dimension calculations
• Use Guided Import to create a dimension

3. Create and Customize Cubes

• Construct a new cube
• Discuss cube properties
• Edit a cube structure
• Review and use a pick list
• Create cube calculations

4. Import Data

• Identify data sources
• Create processes to load data
• Create a process to delete data in a cube
• Create processes to update and maintain the model

5. Share Data Across Cubes with Links

• Discuss and list types of links
• Create and modify links
• Review rule- and process-based links

6. Complete the Income Statement Model

• Discuss the model development process
• Complete objects for the model
• Review tools to aid in model development

7. Create Applications

• Explain the application types
• Access an IBM Planning Analytics application
• Create a new application
• Set the available clients
• Apply security in the application
• Activate and de-activate an application

8. Additional Modeling Techniques

• Create dynamic subsets
• Use dimension functions
• Implement business logic
• Improve cube performance
• Use Planning Analytics utilities

9. Convert Currencies

• Discuss currency challenges
• Review control cubes
• Create rules for currency conversion
• Use Planning Analytics techniques to reduce maintenance

10. Model Data with Architect

• Describe IBM Planning Analytics Architect
• Record MDX queries
• Customize drill-through paths

11. Model for Different Fiscal Requirements

• Discuss time considerations
• Use discrete time dimensions
• Implement a continuous time dimension model

Students should have:

• An understanding of how to interact with IBM Planning Analytics data
• Basic knowledge of OLAP and Planning Analytics
• Experience with Excel spreadsheets (functions, macros, etc.)
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