Customer Segmentation Analysis
- V.2 (Current)
- V.1 (Legacy)
| Field | Value |
|---|---|
| Author | John Doe |
| Document ID | Data/DA/I/2026/012 |
| Document Version | V.2 |
| Status | Active |
| Date | 16/01/2026 |
Project Title
Customer Segmentation Analysis (Enhanced)
Definition (Updated)
- RFM Analysis: Recency, Frequency, Monetary value
- XGBoost: Gradient boosting framework for classification
- Churn Prediction: Forecasting customer attrition
Background
Updated analysis incorporating machine learning models for better prediction accuracy compared to the V.1 rule-based approach.
| Field | Value |
|---|---|
| Author | John Doe |
| Document ID | Data/DA/XI/2025/001 |
| Document Version | V.1 |
| Status | Deprecated |
| Date | 10/11/2025 |
Project Title
Customer Segmentation Analysis
Definition
- RFM Analysis: Recency, Frequency, Monetary value
- K-means Clustering: Unsupervised machine learning algorithm
Background
The marketing team identified a need to understand customer behavior patterns.