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01_​Basic_​Customer_​Segmentation_​Use_​Case

Basic Customer Segmentation

This workflow implements a basic customer segmentation through a clustering procedure. No input is required from the business analyst.

URL: Customer Segmentation comfortably from a Web Browser https://www.knime.org/files/white-papers/customer_segmentation.pdf

Customer Segmentation
Data Reading1. Contract Data 2. Operational Data
Clustering 1. k-Means 2. Denormalization for data & cluster centers
Pre-Processing1.If needed:Conversion To String Discretization (binning) Aggregation 2. Normalization
Back to original data range
Denormalizer (PMML)
Back to original data range
Denormalizer (PMML)
Contract Data
CSV Reader
Calls Data
Excel Reader
Area code and churn -> String
Number to String
Join calls data and contract data
Joiner
Normalize numerical input data to [0,1]
Normalizer (PMML)
10 clusters on all numerical inputs
k-Means

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: albrecht
Created at: 2016-03-09
On NodePit since: 2025-12-01
Last update: 2025-12-04
Created with KNIME version: v5.8.0
Tags: clusteringk-Meanscustomer segmentationCustomer IntelligenceCIPracticing Data Science

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