Mission
Preparation for 1:1 Customer Engagement Implementation
3 Modules
11 Challenges
7 hrs
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.
Preparing Customer Decision Hub for development
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Module
Preparing Customer Decision Hub for development
3 Topics
40 mins
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Discover how to complete the essential setup tasks of the Pega Customer Decision Hub™ application through an automated, end-to-end process by using...
Running Pega Customer Decision Hub setup wizard
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Challenge
Running Pega Customer Decision Hub setup wizard
4 Tasks
45 mins
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U+ Bank has decided to improve the experience of its customers with personalized decisions that predictive and adaptive analytic models drive. To...
Enabling Pega Customer Decision Hub agents
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Challenge
Enabling Pega Customer Decision Hub agents
2 Tasks
5 mins
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The system architects have run the Pega Customer Decision Hub™ setup wizard and created the implementation application for U+ Bank. As a system...
Building the Customer Insights Cache
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Module
Building the Customer Insights Cache
9 Topics
1 hr 45 mins
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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...
Adding a new property to an existing entity
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Challenge
Adding a new property to an existing entity
4 Tasks
20 mins
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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
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Challenge
Populating sample data using Monte Carlo data sets
5 Tasks
20 mins
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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
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Challenge
Importing customer data from a CSV
2 Tasks
10 mins
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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
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Challenge
Adding clickstream data to a customer profile
6 Tasks
30 mins
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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
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Challenge
Creating new aggregates on streamable data
3 Tasks
20 mins
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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
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Challenge
Creating a new entity
5 Tasks
15 mins
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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
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Challenge
Setting up data ingestion
7 Tasks
40 mins
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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
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Challenge
Ingesting data in real-time
3 Tasks
20 mins
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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
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Module
Configuring an application overlay
2 Topics
15 mins
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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
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Challenge
Configuring the overlay application
3 Tasks
5 mins
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The project team at U+ Bank decides that the project is mature enough and ready to move the developed application to higher environments. To...
