An advanced Power BI dashboard for comprehensive personal finance analysis β tracking income, expenses, savings, and investments with interactive visuals and deep insights.
π΄ Click the banner below to access the interactive Power BI dashboard live:
β οΈ Access may require organizational credentials. The dashboard is hosted on Microsoft Power BI Service.
- Overview
- Live Dashboard
- Key Metrics & Insights
- Features
- Dashboard Components
- Financial Breakdown
- Demo Recording
- How to Use
- Tech Stack
- Future Enhancements
- Author
The Personal Finance Analysis Dashboard simplifies financial management by providing a crystal-clear overview of income sources, expenditure categories, savings progress, and investment distribution.
Built entirely in Power BI with Power Query transformations, this dashboard empowers individuals and families to:
- π΅ Track income, expenses, and savings trends over multiple years
- π Identify overspending categories and cost-reduction opportunities
- πΉ Monitor investment portfolio growth and asset allocation
- π― Set financial goals and measure progress with dynamic KPIs
π This dashboard uses sample data for demonstration purposes and does not represent actual financial records.
| Metric | Value |
|---|---|
| π§ Liquid Cash | βΉ2.79M |
| π° Income (2024) | βΉ1.79M |
| π¦ Total Savings | βΉ1.27M |
| π€ Expense Rate | 64% of income |
| π₯ Savings Rate | 45% of income |
| π Monthly Income Growth | +6% (2024) |
| π Monthly Expense Growth | -2% (2024) |
| Category | Amount |
|---|---|
| π House Rent | βΉ152,000 |
| π Groceries & Food | βΉ91,000 |
| π³ EMIs | βΉ78,000 |
| π₯ Health | βΉ22,000 |
π‘ Insight: House rent and groceries dominate expenses, with EMI payments growing consistently year-over-year β a key area for financial optimization.
| Feature | Description |
|---|---|
| π Expense Tracking | Visualize spending across rent, groceries, health, leisure, and more |
| π Income & Savings Trends | Monthly and yearly breakdowns with growth rate percentages |
| πΉ Investment Insights | Allocation across liquid cash, mutual funds, emergency funds & fixed deposits |
| π Interactive Filters | Slice data by year, month, or financial category in real time |
| π¨ Dynamic Visuals | Color-coded KPIs, bar charts, line graphs, and donut charts |
| π Year-on-Year Comparison | Side-by-side performance comparison across multiple years |
- Year-on-year comparison of income, expenses, and savings
- Monthly growth rates for income and savings with trend indicators
- Surplus/deficit highlighting for immediate financial health assessment
- Savings rate as a percentage of total income
- Visual surplus and deficit trend tracking
- Goal-oriented savings performance benchmarks
- Granular spending across all categories (rent, groceries, leisure, health, EMIs)
- Year-over-year comparative expense analysis
- Category-level drill-through for deeper investigation
- Asset distribution across liquid cash, mutual funds, emergency funds, and fixed deposits
- Yearly investment growth trends
- Portfolio health summary with allocation percentages
| Year | Expenses | Savings |
|---|---|---|
| 2021 | βΉ1.62M | βΉ303K |
| 2022 | βΉ1.87M | βΉ364K |
| 2024 | βΉ1.79M (income) | βΉ1.27M |
| Metric | Growth Rate |
|---|---|
| π Monthly Income Growth | +6% |
| π Monthly Expense Growth | -2% |
| π° Net Savings Trend | Positive β |
Watch a live walkthrough of the Finance Analysis Dashboard in action:
FD.webm
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π Access the Dashboard Click the Live Dashboard link above to open the interactive report in Power BI
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π Explore Interactive Features Use the slicers and filters to drill down by year, month, or spending category
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π Navigate Dashboard Pages Browse through Income, Expenses, Savings, and Investment pages for full financial coverage
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π₯ Download & Customize Clone this repository and connect your own data source to personalize the dashboard
π¬ For collaboration or questions, reach out at abdelaaliennamat@gmail.com or open a GitHub Issue.
| Technology | Purpose |
|---|---|
| Dashboard design & interactive visualizations | |
| Source data management & structuring | |
| Data cleaning, transformation & modeling | |
| Custom measures & calculated KPIs |
| Enhancement | Description |
|---|---|
| π Automated Data Updates | Integrate live APIs for real-time financial data syncing |
| π€ Predictive Modeling | Add ML-based projections for future savings and expense forecasting |
| π Benchmark Comparisons | Enable comparisons against national or industry financial standards |
| π± Mobile Optimization | Responsive layout optimized for smartphones and tablets |
| π Personal Data Mode | Allow users to input their own financial data securely |
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