Improve Customer Experience with Hyper-Personalization [Video]

Hyper personalization is a technique through which you can tailor your Machine Learning / Artificial Intelligence models to specific segments of your data. These segments can be as small as individual customers.

In a previous video, we built a model to predict churn a Telco Customer dataset. In this video we take advantage of ClearScape Analytics capabilities to apply Hyper Personalization to this use case, building individual models for specific customer segments, this allows our organization to be more effective in preventing churn.

You could take this approach to very fine granularities, even individual customers, check Teradata ModelOps documentation for more information on this.

For interacting with this demo, you need access to ClearScape Analytics Experience.

http://ms.spr.ly/6055lnFJx

For any questions, reach up to us at:

http://ms.spr.ly/6059lnFJF

Chapters:

Introduction 0:00

Access to ClearScape Analytics Experience 0:50

What is Hyper Personalization 1:36

Environment set-up 2:53

Data exploration 3:24

Data preparation 9:52

Teradata Fit and Transform functions 17:10

Creating the segments 18:22

Building the segmented models through function abstractions 20:00