https://github.com/yukti1sharma/credit_card_analysis

PowerBI Dashboard
https://github.com/yukti1sharma/credit_card_analysis

dax powerbi powerbidashboard

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PowerBI Dashboard

• Host: GitHub
• URL: https://github.com/yukti1sharma/credit_card_analysis
• Owner: yukti1sharma
• Created: 2024-07-30T15:33:34.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-07-30T17:03:34.000Z (4 months ago)
• Last Synced: 2024-07-31T20:09:39.838Z (4 months ago)
• Topics: dax, powerbi, powerbidashboard
• Homepage:
• Size: 1.26 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Credit Card Analysis Dashboard using PowerBI

## Objective

To develop a comprehensive credit card weekly dashboard that provides real-time insights into key performance metrics and trends, enabling stakeholders to monitor and analyze credit card operations effectively.

## Project Steps

### 1. Data Import from PostgreSQL Database

- **Prepare CSV file:**

  - Gather and compile the credit card transaction data into a CSV format.

  - Ensure data accuracy and consistency in the CSV file.

- **Create tables in PostgreSQL:**

  - Define the schema and create the necessary tables in the PostgreSQL database to store the imported data.

- **Import CSV file into PostgreSQL:**

  - Use SQL commands or PostgreSQL tools to import the CSV file into the created tables in the PostgreSQL database.

### 2. Data Cleaning, Processing & DAX

- **Data Cleaning:**

  - Remove any duplicates, handle missing values, and correct inconsistencies in the data.

  - Ensure data integrity and readiness for analysis.

- **Data Processing:**

  - Transform the cleaned data into a suitable format for analysis.

  - Aggregate and calculate necessary metrics.

- **DAX (Data Analysis Expressions):**

  - Use DAX formulas in Power BI to create calculated columns and measures.

  - Implement advanced calculations to derive meaningful insights.

### 3. Dashboard & Insights

- **Dashboard Development:**

  - Design and develop interactive dashboards in Power BI.

  - Visualize key metrics such as transaction volumes, spending categories, customer demographics, and geographic distribution.

- **Insights Generation:**

  - Analyze the visualized data to uncover trends and patterns.

  - Provide actionable insights to stakeholders for informed decision-making.