https://github.com/humairarizwan/churn-analysis

This project focuses on churn analysis for a telecom firm, the techniques and insights are applicable across various industries. From retail and finance to healthcare and beyond, any business that values customer retention can benefit from churn analysis.
https://github.com/humairarizwan/churn-analysis

dashboard machine-learning powerbi sql-server

Last synced: about 1 month ago
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This project focuses on churn analysis for a telecom firm, the techniques and insights are applicable across various industries. From retail and finance to healthcare and beyond, any business that values customer retention can benefit from churn analysis.

• Host: GitHub
• URL: https://github.com/humairarizwan/churn-analysis
• Owner: HumairaRizwan
• Created: 2024-07-25T10:44:41.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-07-25T12:36:29.000Z (5 months ago)
• Last Synced: 2024-10-19T10:19:18.387Z (2 months ago)
• Topics: dashboard, machine-learning, powerbi, sql-server
• Language: Python
• Homepage:
• Size: 1.31 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Churn-Analysis

## Introduction

In today's competitive business environment, retaining customers is crucial for long-term success. Churn analysis is a key technique used to understand and reduce this customer attrition. It involves examining customer data to identify patterns and reasons behind customer departures. By using advanced data analytics and machine learning, businesses can predict which customers are at risk of leaving and understand the factors driving their decisions. This knowledge allows companies to take proactive steps to improve customer satisfaction and loyalty.

## Project Target

## Create an entire ETL process in a database & a Power BI dashboard to utilize the Customer Data and achieve below goals:



Visualize & Analyse Customer Data at below levels

Demographic

Geographic

Payment & Account Info

Services

Study Churner Profile & Identify Areas for Implementing Marketing Campaigns

Identify a Method to Predict Future Churners



 


## Metrics Required



Total Customers

Total Churn & Churn Rate

New Joiners