Outline detalhado do curso
1: Overview of IBM Planning Analytics• Review financial performance management• Identify the IBM Planning Analytics position in a performance management system• Describe the IBM Planning Analytics components and architecture• Describe TM1 server fundamentals• Describe fundamental modeling concepts2: Create dimensions• Describe cubes and dimensions• Create dimensions manually• Edit dimensions• Create dimensions using TurboIntegrator3: Build cubes and views• Describe cubes and data points• Create cubes• Construct views of data in cubes• Create and use a pick list4: Load and maintain data• Identify data sources• Create processes to load data• Create processes to delete data in a cube• Create processes to update and maintain the model5: Add business rules• Describe a rule• Construct rules for elements or consolidations• Use functions in rules• Optimize rule performance• Describe rules in a rule worksheet6: Optimize rule performance• Describe consolidations and sparsity• Enhance consolidation performance using SKIPCHECK• Use FEEDERS to optimize aggregations• Check the accuracy of rules and feeders7: Transfer data into the model• Describe the Advanced tabs in TurboIntegrator• Load custom data into a cube• Add a subset to a dimension• Use logic in scripts• Export data to ASCII• Move data between versions• Construct chores8: Customize drill paths• View related data• Create a drill process• Create a drill assignment rule• Edit a drill process9: Using rules for advanced modeling• Describe virtual cubes• List uses for lookup cubes• Create and use a spread profiles cube• Implement moving balances in a cube10: Convert currencies• Describe currency challenges• Create a currency dimension• Create a currency cube• Create rules for currency conversion11: Model for different fiscal requirements• Identify time considerations• Use discrete time dimensions• Implement a continuous time dimension model12: Deploy IBM Planning Analytics 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 deactivate an applicationAppendix A: Optimize and tune models• Identify characteristics of large models• Describe strategies to improve model performanceAppendix B: Identify common data structures• Identify characteristics of operational and reporting databases• Discuss Online Analytical Processing (OLAP)• Examine core model design principles• Identify the basic tasks required to create an IBM Planning Analytics model and deploy it