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POWER BI PROJECT

Bank Customer Churn Analytics

Customer Churn, Behaviour & Retention Analysis

Power BI Data Analysis Data Visualization Customer Analytics Churn Analysis Dashboard Design

Power BI Dashboard

Project Overview

This Bank Customer Churn Analytics dashboard provides an interactive analysis of customer churn, customer behaviour, and factors associated with customer retention.

The analysis explores customer demographics, age groups, tenure, credit scores, banking products, countries, account balance, card types, activity status, salary ranges, service satisfaction, and complaint status.

Dataset

Bank Customer Churn Dataset

The dataset was obtained from Kaggle and contains customer-level banking information used to analyze customer churn and behaviour. The dataset includes demographic, financial, product, activity, satisfaction, complaint, and churn-related attributes.

Dimension Tables

  • Acc_Balance Groups
  • Satisfication_Score_Status
  • Age_Groups
  • Credit_Score_Groups
  • Salary_Range

Fact Table

  • Customer_Churn

Tools

SQL Power Query DAX Power BI Data Visualization

Project Brief

01

Analyze customer churn across demographic, financial, product, and tenure-related characteristics.

02

Explore customer behaviour through activity status, credit-card ownership, account balance, card type, salary range, and service satisfaction.

03

Examine complaint status and customer-level information to better understand patterns associated with churn.

Data Model

Adventure Works Power BI Data Model