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Bank-Credit-Debit-Analysis

πŸ“Š Bank Debit & Credit Analysis Dashboard – Tableau

This repository contains an interactive Bank Debit & Credit Analysis Dashboard built using Tableau Desktop. The dashboard visualizes key transaction trends across multiple bank branches and helps understand the flow of debit and credit activities over time.

🏦 Project Overview

The dashboard provides a comprehensive view of banking transactions by breaking down credit, debit, and net transactions across branches, time periods, and transaction methods. It aims to help users quickly analyze:

How branches are performing

Month-wise transaction patterns

Distribution of payment methods

Credit-to-Debit relationship

Overall trends and imbalances

This project demonstrates data visualization, dashboard design, and analytical storytelling.

✨ Key Features

  1. KPI Summary Cards

Net Transaction

Credit to Debit Ratio

Total Debit Amount

Total Credit Amount

These metrics offer an instant high-level performance snapshot.

  1. Filters for Better Interactivity

Users can analyze data by:

Transaction Type (Credit / Debit)

Branch

Month of Transaction

Bank Name Includes a custom Reset All Filters button for convenience.

  1. Visualizations Included πŸ“Œ Total Transaction by Branch

Horizontal stacked bars showing both debit and credit amounts for each branch.

πŸ“Œ Transactions Over Time

Line chart illustrating monthly debit and credit trends, capturing seasonality and anomalies.

πŸ“Œ Net Transaction by Branch

Positive and negative bars indicating which branches lead or lag in net transactions.

πŸ“Œ Transaction Method Analysis

Pie chart displaying the share of:

Credit Card

Debit Card

Bank Transfer

🎯 Insights Highlighted

Branch-wise contribution to total banking activity

Month-on-month changes in transaction behaviour

Identification of highly active and low-performing branches

Customer preference for different payment modes

πŸ› οΈ Tools Used

Tableau Desktop Public Edition – Dashboard creation & visualization

Excel / CSV Data Source (Assumed)

Data cleaning & preparation prior to visualization

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