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01_​ChurnAnalysis

Churn Analysis

This workflow clusters telco customers using the k-Means algorithm. As in all exploratory data mining, it is unknown beforehand what number of clusters will be appropriate, therefore the workflow allows the user to specify a range for the number of clusters to calculate. Each set of clusters has its cluster centers and variances presented both as a report and written automatically into a spreadsheet.

URL: Churn / Cancelation / Retention Analysis https://www.knime.org/knime-applications/churn-analysis

This workflow indentifies clusters of telecommunication customers using k-Means.
Read and filter data
Specify minimum/maximum k-clusters
Reporting In order to see the report execute the entire workflow and then click "Open the report" button in the toolbar.
churn data; 3333 rows
Excel Reader
Excel Writer
Filter first 7 cols
Column Filter
Loop End (2 ports) (deprecated)
k-Means
Maximum k
Integer Configuration
Cluster Statistics
Data to Report (BIRT)
Clustercenter Statistics
Data to Report (BIRT)
Minimum k
Integer Configuration
Cluster Statistics
For each k
Interval Loop Start (deprecated)

Nodes

Extensions

Links

Download

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

Download Workflow
On NodePit since: 2026-02-16
Last update: 2026-02-17
Created with KNIME version: v5.8.2
Tags: Churn AnalysisCustomer IntelligenceCIclusterk-Meanstelco

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