1. Implementation Guide
  2. Data Loads and Initial Batch Processing
  3. Loading Data from Files
  4. Initialize Dimensions
  5. Loading Dimensions to Other Applications

Loading Dimensions to Other Applications

Once you have successfully loaded dimension data, you should pause the dataload process and push the dimensions to AI Foundation Cloud Services and the Planning Data Store (if applicable). This allows for parallel data validation and domain build activities to occur while you continue loading data. Review sections Sending Data to AI Foundation and Sending Data to Planning for details on the POM jobs you may execute for this.

The main benefits of this order of execution are:

  1. Validating the hierarchy structure from the AI Foundation interface provides an early view for the customer to see some application screens with their data.

  2. Planning apps can perform the domain build activity without waiting for history file loads to complete, and can start to do other planning implementation activities in parallel to the history loads.

  3. Data can be made available for custom development or validations in Innovation Workbench.

Do not start history loads for facts until you are confident all dimensions are working throughout your solutions. Once you begin loading facts, it becomes much harder to reload dimension data without impacts to other areas. For example, historical fact data already loaded will not be automatically re-associated with hierarchy changes loaded later in the process.