Attribute data is an optional data type that can improve the accuracy of your forecast. It consists of one or more type of categorical information. Attributes serve to group forecasted items together, based on shared characteristics. Attributes often represent item hierarchy elements or business dimensions. Some advanced algorithms can use this data to discover patterns across similar items (example: product category, type).

To create an attributes module:

  1. Create a module with two components:
    • Item ID list as a row (same list used in the historical data module).
    • New line items as columns. 
      • Each line item represents an attribute.
      • In Blueprint mode, format the line items as either text or list.
      • You can create up to 10 line items.
        • You can't use line items that are configured as summary items.
There is no Time dimension for attributes so you just need to have the item_id in rows and the line items in columns.
  1. Import the attributes data into the module and verify that the fields map correctly. 
Attributes



Item flavorItem  typeItem size
Item 1Cookies and creamOrganicLarge
Item 2ChocolateSugar freeGigantic
Item 3ChocolateGluten freeGigantic
Item 4StrawberrySugar freeLarge
Item 5Peanut butterOrganicLarge
Item 6StrawberryRegularSmall 
Item 7CoconutLightSmall
Item 8ChocolateLactose freeGigantic
Item 9ChocolateRegularGigantic
Item 10ChocolateLightSmall
Item 11Cookies and creamGluten freeLarge
Item 12Peanut butterLightLarge

Next, you have the option to create data insights modules. This enables you to evaluate Forecaster item-level details in Anaplan.