Learning Hub Use Case: Predictive Modeling

Dive Deeper into Pyramid Use Cases with the Learning Hub

Did you know that the Pyramid Learning Hub not only offers all the functional courses to get you certified in Pyramid, but we also offer a growing variety of Use Cases that show you how to build a sample Report from scratch. They combine the necessary know how across all Modules that you need to complete the task.

Use Case: Predictive Modeling

In about two hour we guide you through the predictive modeling functions of Pyramid. So what is the task?

The background

For this Use Case, let’s imagine you are a data analyst/scientist working for a sports car manufacturer. A brand new sports car has recently been manufactured and the General Manager of Sales has assigned you a task.

You will utilize Pyramid and its Decision Intelligence capabilities to predict which of your previous customers will buy this brand-new model.

The challenge

The main objective of this tutorial will be to predict a category, a binary variable 'Yes / No' to answer the question 'will customer x buy this new car?' 

 This training is based on Pyramid 2020.17. You can find the corresponding Data Models for your training in the Explore Pyramid Environment

What you will learn in this Use Case:

  • To build, train and test a Logistic Regression model.
  • To build a Confusion Matrix.
  • To analyse the Confusion Matrix results to calculate the predictive accuracy of your model.

To sign up for this Use Case go to the Learning Hub (LMS Subscription required)


If you have questions about the Learning Hub or suggestions for this Use Case, reach out to me: 



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