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Building the customer analytical data model

9 Topics

1 hr 55 mins

Visible to: All users
Intermediate Pega Customer Decision Hub 8.8 Next Best Action Decision Management Data Management Data Model English

Data lies at the heart of one-to-one customer engagement. Utilize industry-specific data models for customer-centric decisioning, based on best practices synthesized from many implementations at many of the world's most innovative organizations. Learn which data elements the industry data models consist of, how to extend the customer analytical record (XCAR), and how to quickly operationalize data to use it throughout Pega Customer Decision HubTM.

After completing this module, you should be able to:

Experience various industry data models.
Create new data and extend existing data entities.
Set up the Customer Profile Designer Accelerator to speed up MLP implementation.
Assemble a customer profile by associating data with any attribute of the context dictionary.
Manually import data from CSV files into a data source.
Define summaries on any streamable data source.
Populate sample data using Monte Carlo data sets.
Create new data jobs to ingest data into the data model.

Practice what you learned in the following Challenges:

Adding a new property to an existing entity v2 Adding clickstream data to a customer profile v4 Setting up data ingestion v2

Available in the following mission:

Preparation for 1:1 Customer Engagement Implementation v2

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