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Module

Building the Customer Insights Cache

9 Topics

1 hr 45 mins

 Visible to: All users
Intermediate Pega Customer Decision Hub '23 Next Best Action Decision Management Data Management Data Model English
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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 Insights Cache (CIC), 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 1:1 industry data models.
Create new data and extend existing data entities to enhance the Customer Insights Cache.
Set up the Customer Profile Designer Accelerator to speed up 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 Customer Insights Cache.

Practice what you learned in the following Challenges:

Adding a new property to an existing entity v3 Adding clickstream data to a customer profile v5 Setting up data ingestion v3

Available in the following mission:

Preparation for 1:1 Customer Engagement Implementation v3

Topics

Customer Insights Cache

5 mins

Monte Carlo data sets

10 mins

Customer Profile Designer overview

10 mins

Importing data from a file

5 mins

Adding behavioral data to a customer profile

15 mins

Creating new aggregates on streamable data

10 mins

Extending the customer profile using Customer Profile Designer

10 mins

Ingesting customer data into Pega Customer Decision Hub

20 mins

Batch import data jobs

15 mins

Module Quiz

5 mins

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