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P8252G - IBM Cognos TM1 - Design and Develop Models in Performance Modeler (V10.2) Training
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Содержание курса
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Overview of IBM Cognos TM1
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review financial performance management
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identify the TM1 position in a performance management system
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describe the IBM Cognos TM1 components and architecture
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explore IBM Cognos TM1 applications
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explore the IBM Cognos TM1 environment
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manage and organize a model
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Create and Customize Dimensions
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review cubes, dimensions, and elements
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create dimensions manually
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import dimensions
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edit dimensions
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create dimension calculations
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use Guided Import to create a dimension
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Create and Customize Cubes
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construct a new cube
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discuss cube properties
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edit a cube structure
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review and use a pick list
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create cube calculations
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Import Data
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identify data sources
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create processes to load data
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create a process to delete data in a cube
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create processes to update and maintain the model
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Share Data Across Cubes with Links
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discuss and list types of links
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create and modify links
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review rule- and process-based links
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Complete the Income Statement Model
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discuss the model development process
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complete objects for the model
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review tools to aid in model development
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Create Applications
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explain the application types
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access an IBM Cognos TM1 application
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create a new application
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set the available clients
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apply security in the application
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activate and de-activate an application
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Additional Modeling Techniques
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create dynamic subsets
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use dimension functions
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implement business logic
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improve cube performance
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use TM1 utilities
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Convert Currencies
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discuss currency challenges
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review control cubes
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create rules for currency conversion
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use TM1 techniques to reduce maintenance
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Model Data with Architect
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describe IBM Cognos TM1 Architect
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record MDX queries
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customize drill-through paths
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Model for Different Fiscal Requirements
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discuss time considerations
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use discrete time dimensions
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implement a continuous time dimension model
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Contribute to Planning Applications (Optional)
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Integrate with IBM Cognos BI (Optional)
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Administer IBM Cognos Insight (Optional)
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Additional Workshop (Optional)
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Optimize and Tune Models (Optional)
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Identify Common Data Structures (Optional)
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Customize Business Rules (Optional)
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Optimize Rule Performance (Optional)
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