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Mission

Data Scientist

10 Modules

12 Challenges

11 hrs 40 mins

Visible to all users

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.

Beginner Pega Customer Decision Hub 8.4
This Mission has been updated. Click here to continue your progress on the latest version.
  • 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...

  • 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...

  • Module

    Creating and understanding decision strategies

    6 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...

  • 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...

  • 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...

  • Challenge

    Prioritizing actions using AI

    4 Tasks

    20 mins

  • When customers log in to the U+ Bank website, they see the credit card offers for which they qualify based on the engagement policy defined by...

  • Module

    Predicting customer behavior using real-time data

    7 Topics

    1 hr

  • You want to predict customer behavior, but you have no historical behavioral data on which to base your predictions. Without historical data...

  • Challenge

    Configuring an adaptive model

    3 Tasks

    30 mins

  • BankCo, a retail bank, has decided to launch two new credit card offers, Classic and Gold cards, to attract new customers. Initially, the offers occur...

  • Challenge

    Monitoring an adaptive model

    2 Tasks

    25 mins

  • BankCo, a retail bank, has recently launched two new credit card offers, BaseCard and YoungCard, to attract new customers. The bank has implemented a...

  • Module

    Demonstrating adaptive learning

    5 Topics

    40 mins

  • To demonstrate that adaptive models learn from customer interactions when real-time data is not available, use a Monte Carlo data set to create mock...

  • Challenge

    Creating a Monte Carlo data set

    5 Tasks

    35 mins

  • MyCo, a large telecom provider, is considering using Pega Customer Decision Hub™ for their marketing strategy. As a data scientist, you are asked to...

  • Challenge

    Demonstrating adaptive learning

    4 Tasks

    20 mins

  • U+ Bank is about to implement adaptive models in the web channel to increase the click-through rates of the banners that promote their four credit...

  • Module

    The impact of machine learning

    2 Topics

    30 mins

  • To quantify the impact your models have on the success rate of actions, also known as uplift, you challenge the models with random actions. The...

  • Challenge

    Measuring the impact of machine learning

    5 Tasks

    15 mins

  • In the Summer Sales marketing promotion brief, U+Bank has adopted predictive analytics. The sales manager wants you to report on the uplift of the...

  • Module

    Building predictive models

    3 Topics

    30 mins

  • Build predictive models on historical customer data in Prediction Studio by using the wizard that guides you through the successive steps. Understand...

  • Challenge

    Building a predictive model

    11 Tasks

    35 mins

  • MyCo, a data service provider, would like to reduce the churn amongst its existing customers. You have been asked to create a predictive churn model...

  • Module

    Using third party predictive models

    2 Topics

    20 mins

  • A client may have a significant investment in Predictive Model Markup Language--compliant (PMML) predictive models. Help the client leverage that...

  • Challenge

    Importing a PMML model

    2 Tasks

    25 mins

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

  • Module

    Text analytics for email routing

    6 Topics

    35 mins

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

  • Challenge

    Using rule-based topic detection to route emails

    4 Tasks

    20 mins

  • U+ Bank is a major company in the financial industry that wants to improve customer engagement. U+ Bank recently opened an email channel where...

  • Challenge

    Using model-based topic detection to route emails

    3 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...

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