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Credit Card Analysis Report using Power BI and PostgreSQL to deliver in-depth insights into credit card transactions and customer behavior. This analysis explores transaction trends, spending patterns, and demographic information to optimize marketing strategies, enhance customer satisfaction, and drive overall business performance.

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ankit4163/Credit-Card-Financials

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Credit-Card-Financials

Overview

This project involves analyzing credit card transaction data using SQL and visualizing the insights using Power BI. The main objectives are to understand spending patterns, detect trends, and generate a comprehensive report on credit card usage.

Project Structure

SQL Scripts: Contains SQL scripts for data cleaning, transformation, and querying. Power BI Dashboard: Visual representation of the analysis.

Dataset

The project uses two main tables:

credit_card.csv :- Credit Card Details customer.csv :- Credit Card Customer Details

Power BI Dashboard

The Power BI dashboard provides a visual representation of the data, showcasing various metrics and trends. Key components of the dashboard include:

Revenue Metrics: Overall revenue, total interest, income, and more. Customer Demographics: Breakdown by education level, age group, income category, marital status, and more. Geographical Insights: Top 5 states contributing to revenue. Credit Card Categories: Performance of different card categories (e.g., Blue, Silver, Gold, Platinum).

Tools and Technologies

SQL (Postgre SQL)

Power BI

About

Credit Card Analysis Report using Power BI and PostgreSQL to deliver in-depth insights into credit card transactions and customer behavior. This analysis explores transaction trends, spending patterns, and demographic information to optimize marketing strategies, enhance customer satisfaction, and drive overall business performance.

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