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Mission

Data Scientist

9 Modules

10 Challenges

8 hrs 35 mins

Visible to all users
Beginner Pega Customer Decision Hub 8.5 English

Gain a greater understanding of the key features, capabilities, and benefits of Prediction Studio. Learn how to manage adaptive models and build predictive models that are used in strategies that guide real-time customer interactions.

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One-to-one customer engagement

  • Module

    One-to-one customer engagement

    3 Topics

    30 mins

  • Familiarize yourself with the one-to-one customer engagement paradigm. Learn about the business problems Pega Customer Decision Hub™ can solve and...

Prediction Studio overview

  • Module

    Prediction Studio overview

    1 Topic

    15 mins

  • Prediction Studio is the dedicated workplace for data scientists to control the life cycles of advanced analytics models. The model types available in...

Enabling AI in the NBA framework

  • Module

    Enabling AI in the NBA framework

    5 Topics

    50 mins

  • Learn how every next-best-action weighs customer needs against business objectives to optimize decisions based on priorities set by the business...

Adding predictors to an adaptive model

  • Challenge

    Adding predictors to an adaptive model

    5 Tasks

    10 mins

  • U+ Bank is implementing cross-sell of their credit cards on the web by using Pega Customer Decision Hub™. The implementation team has set up the...

Monitoring adaptive models

  • Module

    Monitoring adaptive models

    2 Topics

    25 mins

  • The predictive performance and success rate of individual adaptive models provide information that can help business users and decisioning consultants...

Monitoring adaptive models

  • Challenge

    Monitoring adaptive models

    3 Tasks

    10 mins

  • The U+Bank implementation for cross-sell on the web of their credit cards and the models have been learning for some time. Your task is to inspect the...

The impact of machine learning

  • Module

    The impact of machine learning

    1 Topic

    15 mins

  • The boost in the success rate, also known as lift, that artificial intelligence (AI) achieves is an important business metric. To report on this...

Measuring the impact of machine learning

  • Challenge

    Measuring the impact of machine learning

    4 Tasks

    15 mins

  • U+ Bank has recently implemented Pega Customer Decision Hub™ to display a personalized credit card offer to eligible customers on their website. The...

Creating and understanding decision strategies

  • Module

    Creating and understanding decision strategies

    4 Topics

    1 hr 10 mins

  • Next-Best-Action Designer provides a guided and intuitive UI to bootstrap your application development with proven best practices that generate the...

Creating a decision strategy

  • Challenge

    Creating a decision strategy

    4 Tasks

    25 mins

  • As a Strategy designer, you are tasked to design a basic decision strategy that outputs the Label action with the lowest printing cost. A set of Label...

Testing a decision strategy

  • Challenge

    Testing a decision strategy

    4 Tasks

    25 mins

  • A decision strategy that produces the Next-Best-Label action has been set up. The main purpose of the decision strategy is to select the label with...

Creating predictive models

  • Module

    Creating predictive models

    5 Topics

    50 mins

  • In Prediction Studio, three option to leverage historical data are available: creating models using Pega machine learning, importing models created in...

Building models with Pega machine learning

  • Challenge

    Building models with Pega machine learning

    7 Tasks

    5 mins

  • U+ Bank uses artificial intelligence (AI) to determine which credit card offer to show a customer on the bank’s website. To reduce the number of...

Importing predictive models

  • Challenge

    Importing predictive models

    2 Tasks

    5 mins

  • U+ Bank has recently implemented Pega Decision Management but has already been using predictive models created by an external bureau for some time...

Leveraging predictive models

  • Module

    Leveraging predictive models

    2 Topics

    20 mins

  • Predictive analytics requires historical data that contains the customer behavior you want to predict. A predictive model is used to predict an...

Leveraging predictive models

  • Challenge

    Leveraging predictive models

    3 Tasks

    25 mins

  • U+ Bank uses AI to determine which credit card offers to show to customers on its website. The bank wants to reduce the number of clients that leave...

Text analytics for email routing

  • Module

    Text analytics for email routing

    6 Topics

    40 mins

  • Humans can effortlessly interpret a single tweet but are unable to parse a large volume of information efficiently. Businesses are exploring ways to...

Using rule-based topic detection to route emails

  • Challenge

    Using rule-based topic detection to route emails

    3 Tasks

    20 mins

  • U+ Bank is a financial company that wants to improve their customer engagement. U+ Bank recently opened an email channel where customers can initiate...

Using model-based topic detection to route emails

  • Challenge

    Using model-based topic detection to route emails

    4 Tasks

    20 mins

  • U+ Bank currently has a rule-based email routing system in place — all emails with the topic detected as address change are routed to the Account...

Data Scientist

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