Analytics Cloud can map contact profile fields into a unified customer data model. It starts you with a default model. The process for mapping contact data is similar across data source types. Once you’ve selected the contacts to sync, Analytics Cloud makes a best effort to map contact data fields from the data source (e.g., Liferay DXP or CSV) to your unified contact data model.
Analytics Cloud provides several contact data mapping options:
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Choose the most appropriate data model field—Analytics Cloud suggests possible matches.
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Add a new custom data model field and map source data to it.
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Map source fields from multiple data sources to the same data model field.
Note: If you map source fields from multiple data sources to the same model field, the latest modified value is used.
As you map source fields to the data model, you can search for and select from the data model fields, use a suggested field, or create a new custom field.
Figure 1: Analytics Cloud facilitates finding appropriate data model fields and offering suggestions.
Here’s how to create custom contact data model fields:
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Click on the data model field’s selector.
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Click New Field. A dialog appears for you to create the new field.
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In the dialog, name the new field and select its type.
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Click Create.
Your custom model field is ready to match with source fields.
Figure 2: Creating new data model fields is easy.
When you’re done mapping the data, click the Done button. Congratulations on mapping contacts from your data source to your Analytics Field contact model.
Once you’ve mapped your contact data and finished adding your data sources, you can start learning more about your customers. See Understanding People for more.