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Mission

Preparation for 1:1 Customer Engagement Implementation

3 Modules

11 Challenges

7 hrs 10 mins

Visible to: All users
Intermediate
Pega Customer Decision Hub '24.2
Decision Management
Next Best Action
English

Learn how to prepare your Pega Customer Decision Hub™ environment to start development right away. Build your own always-on customer brain from the ground up and jumpstart your implementation without losing valuable time. This mission provides a hands-on experience to set up Customer Decision Hub with the setup wizard, build your Customer Insights Cache, ingest customer data and get ready for the initial application migration.

  • Explore the CDH role based learning paths here download pdf

Preparing Customer Decision Hub for development

  • Module

    Preparing Customer Decision Hub for development

    3 Topics

    40 mins

  • Discover how to complete the essential setup tasks of the Pega Customer Decision Hub™ application through an automated, end-to-end process by using...

Building the Customer Insights Cache

  • Module

    Building the Customer Insights Cache

    9 Topics

    1 hr 45 mins

  • Data lies at the heart of one-to-one customer engagement. Utilize industry-specific data models for customer-centric decisioning, based on best...

Adding a new property to an existing entity

  • Challenge

    Adding a new property to an existing entity

    4 Tasks

    20 mins

  • U+ Bank wants to improve the experience of its customers with personalized decisions that are driven by customer-centric engagement policies and...

Populating sample data using Monte Carlo data sets

  • Challenge

    Populating sample data using Monte Carlo data sets

    5 Tasks

    20 mins

  • The U+ Bank project team built an implementation application of Pega Customer Decision Hub™ using the setup wizard, making use of the 1:1 Financial...

Importing customer data from a CSV

  • Challenge

    Importing customer data from a CSV

    2 Tasks

    10 mins

  • U+ Bank wants to improve the experience of its customers with predictive and adaptive analytical models that drive personalized decisions. Following...

Adding clickstream data to a customer profile

  • Challenge

    Adding clickstream data to a customer profile

    6 Tasks

    30 mins

  • U+ Bank uses Pega Customer Decision Hub™ to present personalized credit card offers to its customers on its website. The data scientists want to...

Creating new aggregates on streamable data

  • Challenge

    Creating new aggregates on streamable data

    3 Tasks

    20 mins

  • U+ Bank uses Pega Customer Decision Hub™ to present personalized offers to customers on its website. The system architects set up the Customer Profile...

Creating a new entity

  • Challenge

    Creating a new entity

    5 Tasks

    15 mins

  • U+ Bank wants to improve the experience of its customers with personalized decisions that are driven by customer-centric engagement policies and...

Setting up data ingestion

  • Challenge

    Setting up data ingestion

    7 Tasks

    40 mins

  • The project team at U+ Bank performed a data mapping workshop and mapped its existing data model to Pega Customer Decision Hub™ and structured the...

Ingesting data in real-time

  • Challenge

    Ingesting data in real-time

    3 Tasks

    20 mins

  • U+ Bank uses Pega Customer Decision Hub™ to present personalized credit card offers to its customers on its website.

    One of the key attributes when...

Configuring an application overlay

  • Module

    Configuring an application overlay

    2 Topics

    15 mins

  • An application overlay defines the scope in which business users can implement business changes, such as managing actions or modifying business rules...

Configuring the overlay application

  • Challenge

    Configuring the overlay application

    3 Tasks

    15 mins

  • The project team at U+ Bank decides that the project is mature enough and ready to move the developed application to higher environments. To...

mission badge: Preparation for 1:1 Customer Engagement Implementation

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