Mission
Data Scientist
-
10 Modules
-
12 Challenges
-
11 hrs 40 mins
Gain greater understanding of the key features, capabilities and benefits of the Pega Prediction Studio in this course. Learn how to manage adaptive models and build predictive models that are used in strategies that guide the real-time customer interactions.
-
Beginner -
Pega Customer Decision Hub 8.4
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 of data scientists, where they control the lifecycles of advanced analytics models. The model types...
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. Next-Best-Action...
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 will...
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 for their marketing strategy. As a data scientist, you are asked to give a demonstration of...
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 promoting their four credit cards. ...
Module
The impact of machine learning
-
2 Topics
-
30 mins
To quantify the impact of your models on the success rate of the actions, also known as the 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, using the wizard that guides the user though the successive steps...
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 large investment in PMML-compliant predictive models. Help them leverage that investment while making the move to Pega Decision...
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. You...
Module
Text analytics for email routing
-
6 Topics
-
35 mins
Humans can effortlessly interpret a single tweet but cannot do it efficiently over a large volume. Businesses are exploring ways to use machine...
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 engagement with customers. U+ has 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...
