Mission
Preparation for 1:1 Customer Engagement Implementation
3 Modules
10 Challenges
6 hrs 50 mins
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 jump start 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 data model, and ingest customer data.
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 analytical data model
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Module
Building the customer analytical data model
9 Topics
1 hr 55 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 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 their 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
3 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 the analytical data model for the financial...
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 to higher environments. To facilitate the implementation of...
