CODE: J1362G
LENGTH: 40 Hours
PRICE: Ft581 806,80
This course is designed to teach modelers how to build a complete model in IBM Planning Analytics using Planning Analytics Workspace. Through a series of lectures and hands-on exercises, students will learn how to set up dimensions and cubes, manually enter data into these structures, and define the data that users can see. Students will also learn how to transfer data into the IBM Planning Analytics model, including the use of TurboIntegrator scripts to perform data transfer. In addition, the course outlines how to customize drill paths, convert currencies, and model for different fiscal requirements.
Data Modelers
Overview of IBM Planning Analytics
Modeling in IBM Planning Analytics: overview
IBM Planning Analytics: data tier
In-memory data storage
Calculating versus caching data
Important files in TM1
Create dimensions
What is a dimension?
What are weights?
Time dimensions
Member attributes
Hierarchies
Load and maintain data
What is TurboIntegrator?
Defining data sources and process parameters in TurboIntegrator
Validate and run processes
TurboIntegrator chores
Add business rules
What are rules?
How do you create a rule?
Review rule processing
Use a rule to override aggregation
Use a function in a rule
Optimize rule performance
Understanding consolidations and sparsity
Optimize your rules using SKIPCHECK
Using feeder statements
Inter-cube feeders
Feeding string rules
Trace cell values and feeders
Transfer data into your model
Link cubes with different dimensions
Review TurboIntegrator
Dealing with data
Use IBM Planning Analytics as a data source
Tips for scripting in TurboIntegrator
Customize drill paths
View related data
Create a drill path
Use rules for advanced modeling
Describe a virtual cube
Utilize a lookup cube
Use relative spreading and a spread profiles cube
Use attributes in rules
Convert currencies
Converting currency: overview
Review control cubes
Model for different fiscal requirements
Understanding time
Discrete time dimensions
Continuous time dimensions
Develop a continuous time model