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Credit Card Intelligence Dashboard

📌 Overview

An end-to-end Power BI Business Intelligence project designed to analyze HSBC credit card transactions and customer behavior. The dashboard provides insights into revenue generation, spending patterns, customer demographics, card performance, and week-over-week business growth through interactive visualizations and KPI tracking.

🎯 Project Objectives

  • Analyze credit card transaction performance.
  • Monitor revenue and transaction trends.
  • Identify high-value customer segments.
  • Evaluate card category performance.
  • Understand customer demographics and spending behavior.
  • Track week-over-week business growth metrics.
  • Enable data-driven decision-making through interactive dashboards.

🛠️ Tech Stack

  • Power BI Desktop
  • SQL
  • DAX (Data Analysis Expressions)
  • Power Query
  • Excel

📊 Dashboard Preview

Transaction Dashboard

Transaction Dashboard

Key Insights

  • Total Revenue: $57M
  • Total Transaction Amount: $45.5M
  • Total Interest Earned: $7.98M
  • Total Transactions: 667K
  • Revenue breakdown by card category, education level, expense type, and payment method.

Expense Type Analysis Dashboard

Expense Type Analysis

Key Insights

  • Bills generate the highest revenue ($14M).
  • Entertainment and Fuel are the next highest contributors.
  • Businessman and White-collar segments drive significant revenue.
  • Quarterly revenue and transaction trends are tracked.

Activation Rate & Weekly Performance Dashboard

Activation Rate Dashboard

Key Insights

  • Weekly Revenue Growth: 35.04%
  • Customer Growth: 12.80%
  • Income Growth: 18.23%
  • Transaction Count Growth: 3.39%
  • Week-over-week business performance monitoring.

📈 Key Metrics

Metric Value
Total Revenue $57M
Transaction Amount $45.5M
Total Interest Earned $7.98M
Total Transactions 667K
Total Income $587.6M
Customer Satisfaction Score 3.19

🚀 Dashboard Features

1. Transaction Analysis

  • Revenue by Card Category
  • Revenue by Expense Type
  • Revenue by Customer Job
  • Revenue by Education Level
  • Revenue by Payment Method
  • Quarterly Revenue Trends
  • Interest Earned Analysis

2. Customer Analysis

  • Revenue by Gender
  • Revenue by Age Group
  • Revenue by Marital Status
  • Revenue by Education Level
  • Revenue by Occupation
  • Revenue by State
  • Customer Revenue Trends

3. Weekly Performance Analysis

  • Week-over-Week Revenue Growth
  • Customer Growth Tracking
  • Income Growth Analysis
  • Transaction Growth Analysis
  • Delinquent Account Analysis
  • Card Category Contribution Analysis

💡 Key Business Insights

Card Category Performance

Card Category Revenue Share
Blue 83.49%
Silver 10.01%
Gold 4.48%
Platinum 2.01%

Blue cards contribute the majority of business revenue, accounting for more than 83% of total revenue generated.

Revenue by Payment Method

Payment Method Revenue
Swipe $36M
Chip $17M
Online $4M

Swipe transactions generate the highest revenue, indicating customer preference for physical card transactions.

Revenue by Expense Type

Expense Type Revenue
Bills $14M
Entertainment $9.8M
Fuel $9.6M
Grocery $8.7M
Food $8.4M
Travel $6M

Bills and entertainment are the largest contributors to overall revenue.

Revenue by Customer Job

Customer Segment Revenue
Businessman $17.7M
White-collar $10.3M
Self-employed $8.5M
Government $8.3M
Blue-collar $7.0M
Retirees $4.6M

Businessmen represent the most valuable customer segment.


📅 Weekly Performance Highlights

Metric Growth
Revenue Growth 35.04%
Transaction Count Growth 3.39%
Customer Growth 12.80%
Income Growth 18.23%

The dashboard tracks week-over-week performance, enabling stakeholders to monitor business growth and customer acquisition trends.


🗂️ Project Structure

HSBC-Credit-Card-Intelligence-Dashboard
│
├── Credit_Card.xlsx
├── Customer.xlsx
├── Credit_Card_Report.pbix
├── Credit_Card_Report.pdf
├── HSBC Report-Finance.pdf
├── SQL Query.sql
├── Credit_Card.ipynb
├── download.png
├── download 2.png
├── download 3.png
└── README.md

⚙️ Workflow

  1. Extracted transaction and customer data.
  2. Cleaned and transformed data using Power Query.
  3. Built relationships between tables.
  4. Created DAX measures and KPIs.
  5. Developed interactive Power BI dashboards.
  6. Generated business insights through visual analytics.

📌 Business Impact

This dashboard enables stakeholders to:

  • Monitor financial performance in real time.
  • Identify profitable customer segments.
  • Understand spending behavior across demographics.
  • Track growth trends and revenue drivers.
  • Make informed strategic and operational decisions.

🏆 Resume Project Description

HSBC Credit Card Intelligence Dashboard | Power BI, SQL, DAX

  • Developed an interactive Power BI dashboard analyzing 667K+ credit card transactions and $57M revenue to monitor business performance and customer behavior.
  • Built SQL queries, data models, and DAX measures to track revenue, transaction growth, customer acquisition, and weekly performance metrics.
  • Delivered actionable insights on card categories, spending patterns, customer demographics, and revenue drivers through dynamic visualizations.

👨‍💻 Author

Yash Dudhani

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