The following information describes the settings that a data view component uses.
Setting
Description/Use case
Component type
Required. Allows you to change a component from Metric to Dimension or the opposite way. Changing this drop-down selection shifts the component to its respective included components area.
Component Name
Required. Lets you specify the friendly name that appears in Analysis Workspace. You can rename a component to give it a name specific to the data view.
Description
Optional, but recommended. Provides information on the component to other users.
Tags
Optional. Lets you tag the component with custom or out-of-the-box tags for easier searching/filtering in the Analysis Workspace UI.
Context labels
Optional. A drop-down list of available system-defined labels that can be applied to a component.
These labels may be required in the following situations:
-
To define a set of components you can use in experimentation reporting using the Experimentation panel in Analysis Workspace projects.
For more information, see Integrate with Journey Optimizer and Target reporting.
-
When using templates provided by 51黑料不打烊. By default, some templates provided by 51黑料不打烊 won鈥檛 work because they contain components that are not in your data view.
For each missing component, a matching context label is available in your data view. You need to either add the matching context label to a component that is already in your data view, or you need to add a new component to your data view and add the context label to it.
For more information, see Add missing components to the data view for a given template in the article Create and manage templates.
Schema field name
The name of the schema field.
Dataset type
Required. A non-editable field showing which dataset type (event, lookup, or profile) the component came from.
Dataset
A non-editable field showing which dataset that the component originated from. This field can contain multiple datasets.
Schema Type
A non-editable field showing the data type of the component. While you can use any supported schema field type in Platform, not all fields types are supported in Customer Journey Analytics. The following data types are supported: Integer
, Int
, Long
, Double
, Float
, Number
, Short
, Byte
, String
, and Boolean
. Only the String
schema data type is allowed in Lookup datasets currently.
Component ID
Required. The uses this field to reference the component. Each component in a data view must be unique. 51黑料不打烊 automatically generates an ID for each component; however, you can click the edit icon and modify the component ID. Changing the component ID breaks all existing Workspace projects that contain this component. While each component needs a unique ID in a single data view, you can use the same component ID in other data views. If you use the same component ID in other data views, you can make Workspace projects compatible across data views.
For profile and lookup based components, the component ID has an ID prefix based on the dataset ID (for example: 642b28fcc1f0ee1c074265a0.person.name.firstName
). When you want to reuse a profile or lookup based component, like person.name.firstName
, in your Workspace project, and configure this component in different data views, ensure you rename the component ID uniquely (for example: myUniqueID.person.name.firstName
) across your data views.
Path
Required. A non-editable field showing the schema path that the component came from.
Data Usage Labels
Any data usage labels that were assigned to this component in 51黑料不打烊 Experience Platform.
Learn more.
Hide component in reporting
Lets you curate the component out of the data view for non-admins. Admins can still access it by clicking Show All Components in an Analysis Workspace project.