The project explores customer segmentation and churn-related insights through an interactive dashboard using RFM analysis and K-Means. It was developed for Data Science Weekend and later presented at Telkomsel in South Jakarta.
Visual notes
Inside the project.
Customer churn dashboard with segmentation and geographic visualizationsData Science Weekend presentation at Telkomsel
02 / Approach
How it is put together.
01
Customer segmentation
RFM analysis and K-Means were used as the basis for grouping customer behavior patterns.
02
Churn exploration
The dashboard presents customer analytics intended to support exploration of churn-related patterns.
03
Interactive reporting
A dashboard provides a visual interface for reviewing the analysis and communicating findings.
Project takeaway
What came out of it.
The project enabled the team to present customer analytics at Telkomsel. No quantified business impact is claimed here.
