An advanced Power BI dashboard designed to provide comprehensive insights into personal and family finances. This interactive tool visualizes income, expenses, savings, and investments over time, helping users make informed financial decisions.
- Project Overview
- Features
- Dashboard Components
- Key Metrics & Insights
- Financial Breakdown
- Setup Guide
- Technologies Used
- Future Enhancements
The Finance Analysis Dashboard simplifies financial management by providing a clear overview of income sources, expenditure categories, savings, and investments. It allows users to track their financial health across multiple years and identify opportunities for improvement.
- Expense Tracking: Visualize spending patterns across various categories such as rent, groceries, health, and leisure.
- Income and Savings Trends: Monthly and yearly breakdowns of income, savings, and growth percentages.
- Investment Insights: Analyze the distribution of funds across liquid cash, mutual funds, emergency funds, and fixed deposits.
- Interactive Visuals: Filter data by years, months, or specific financial categories.
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Income vs Expenses:
- Year-on-year comparison of income, expenses, and savings.
- Monthly growth rates for income and savings.
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Savings Analysis:
- Savings rate as a percentage of income.
- Visuals highlighting surplus or deficit trends.
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Expense Breakdown:
- Detailed spending across categories like rent, groceries, and leisure.
- Comparative analysis of expenses over the years.
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Investment Portfolio:
- Distribution of funds into liquid cash, mutual funds, emergency funds, and fixed deposits.
- Yearly trends in investment growth.
- Liquid Cash: ₹2.79M
- Income (2024): ₹1.79M
- Savings: ₹1.27M
- Expense Percentage: 64%
- Savings Percentage: 45%
- House Rent: ₹152,000
- Groceries & Food: ₹91,000
- EMIs: ₹78,000
- Health: ₹22,000
The dashboard reveals that house rent and groceries are the largest expense contributors, with a consistent increase in EMI payments year over year.
- 2021: ₹1.62M expenses, ₹303k savings
- 2022: ₹1.87M expenses, ₹364k savings
- Monthly Income Growth: 6% (2024)
- Monthly Expense Growth: -2% (2024)
- Power BI Desktop
- Access to the provided financial dataset in
.csvor.xlsxformat.
- Clone the Repository:
git clone https://github.com/yourusername/finance-dashboard.git
- Load Dataset: Import the dataset into Power BI Desktop.
- Refresh Data: Ensure real-time updates for dynamic analysis.
- Explore Filters: Use slicers to filter by year or financial category.
- Data Visualization: Power BI
- Data Management: CSV/Excel
- Preprocessing: Excel or Power Query
- Automated Data Updates: Integrate APIs for live financial data.
- Predictive Modeling: Add projections for future savings and expenses.
- Comparison Benchmarks: Enable comparisons against industry standards.
- Mobile-Friendly Dashboard: Optimize for viewing on smartphones and tablets.
Disclaimer: This dashboard uses sample data for demonstration purposes and does not represent actual financial records.