Basic Customer Segmentation Use Case

Customer Segmentation

Customer segmentation is the sub-division of a market into discrete different groups of customers, where each group shares similar characteristics. This workflow illustrates how to build a basic customer segmentation model, using a clustering procedure.

Pre-processing

• Join contract data and behavioral data

• Convert Churn values to String to be used as class in upcoming classification

• Normalize all numerical columns in [0,1]

Data Reading

2 files:

• contract data

• behavioral (calls) data

Both files are located in TheData/Customers

Clustering

Clustering is performed with k-Means. Other Learner nodes train other models. Most Learner nodes output a PMML model (blue square output port).

Task

Build a basic customer segmentation using a clustering procedure.

Input data with assigned cluster

Cluster centers