Icon

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.

Customer Segmentation Data Reading1. Contract Data2. Operational Data Clustering1. k-Means2. Denormalization for data& cluster centers Pre-Processing1. If needed: Conversion To String Discretization (binning) Aggregation2. Normalization 10 clusterson allnumerical inputsNormalizenumerical input datato [0,1]Back to originaldata rangeBack to originaldata rangeCalls DataContract DataJoin calls dataand contract dataArea codeand churn ->Stringk-Means Normalizer (PMML) Denormalizer (PMML) Denormalizer (PMML) Excel Reader CSV Reader Joiner Number To String Customer Segmentation Data Reading1. Contract Data2. Operational Data Clustering1. k-Means2. Denormalization for data& cluster centers Pre-Processing1. If needed: Conversion To String Discretization (binning) Aggregation2. Normalization 10 clusterson allnumerical inputsNormalizenumerical input datato [0,1]Back to originaldata rangeBack to originaldata rangeCalls DataContract DataJoin calls dataand contract dataArea codeand churn ->Stringk-Means Normalizer (PMML) Denormalizer (PMML) Denormalizer (PMML) Excel Reader CSV Reader Joiner Number To String

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: 2024-10-14
Last update: 2024-12-26
Created with KNIME version: v4.5.0
Tags: clusteringk-Meanscustomer segmentationCustomer IntelligenceCIPracticing Data Science

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!