The Financial Overview Dashboard in Power BI provides insights into key financial metrics such as revenue, expenses, net income, and profit margins. It enables businesses to track financial performance over time, analyze trends, and identify cost optimization opportunities.

2. Purpose

The primary objectives of this report include:

• Monitoring Total Revenue, Total Expenses, Net Income, and Profit Margins.
• Analyzing Revenue and Profit Trends over different time periods.
• Understanding Expense Distribution by Category.
• Providing interactive and comparative financial analysis.

3. Data Sources

The report pulls data from:

• Financial Transactions Database (Revenue, Expenses, Net Income).
• Expense Management System (Expense Categories & Trends).
• Accounting & ERP Systems (Historical and Forecast Data).

4. Key Metrics & Visualizations

4.1 Financial Summary Metrics

• Total Revenue (with percentage increase/decrease).
• Total Expenses (with percentage increase/decrease).
• Net Income (Profit after deducting expenses).
• Profit Margin (%) (Indicator of profitability).

4.2 Revenue & Expense Trends

• Revenue & Revenue PM (Previous Month) visualized by month.
• Profit Margin by Month comparison over time.
• Expenses Breakdown by Category (Consulting, Software, Hardware, Subscription, Training).

4.3 Time-Based Analysis

• Quarterly & Yearly Comparison of financial performance (2022 vs. 2023).
• Monthly Breakdown of Revenue & Expenses.

5. Functional Requirements

5.1 Dashboard Features

• Interactive Filters (Time periods, Expense Categories).
• Drill-down Analysis (From yearly to monthly insights).
• Comparative Views (Current vs. Previous Performance).
• Export & Sharing Options for key financial insights.

5.2 Data Refresh & Update

• Automated Data Refresh (Daily/Weekly/Monthly).
• Integration with Live Data Sources (SQL Databases, ERP Systems).

5.3 Access & Security

• Role-Based Access (Finance Team, Executives).
• Data Confidentiality Measures (Restricted access to sensitive data).

Project Completion Method

1. Data Extraction & Preparation

1.1 SQL Queries – Data Retrieval

SQL is used to extract data from financial databases, ensuring accuracy and completeness.

a) Fetching Financial Transactions

sqlCopyEditSELECT 
    TransactionID, 
    Date, 
    Revenue, 
    Expenses, 
    (Revenue - Expenses) AS NetIncome, 
    (Revenue - Expenses) / Revenue * 100 AS ProfitMargin
FROM FinancialTransactions
WHERE Date BETWEEN '2022-01-01' AND '2023-12-31';

b) Fetching Expense Categories

sqlCopyEditSELECT 
    ExpenseID, 
    ExpenseCategory, 
    Amount, 
    Date
FROM Expenses
WHERE Date BETWEEN '2022-01-01' AND '2023-12-31';

1.2 Data Cleaning & Transformation (Power Query – M Language)

• Remove Duplicate Records.
• Convert Data Types (Date, Numeric Values).
• Add Calculated Columns (Profit Margin, Expense Contribution).

Example: Adding Year & Month Columns in Power Query

mCopyEdit= Table.AddColumn(FinancialTransactions, "Year", each Date.Year([Date]), Int64.Type)

mCopyEdit= Table.AddColumn(FinancialTransactions, "Month", each Date.Month([Date]), Int64.Type)

2. Data Modeling & Relationships

• FinancialTransactions (Fact Table) → Linked to Expenses (Category Table) using ExpenseID.
• Date Table → Created in Power BI for time-based analysis.

3. DAX Measures for Analysis

3.1 Revenue & Expense Calculations

a) Total Revenue

DAXCopyEditTotal Revenue = SUM(FinancialTransactions[Revenue])

b) Total Expenses

DAXCopyEditTotal Expenses = SUM(Expenses[Amount])

c) Net Income Calculation

DAXCopyEditNet Income = [Total Revenue] - [Total Expenses]

3.2 Profit Margin Analysis

a) Profit Margin %

DAXCopyEditProfit Margin = 
DIVIDE(
    [Net Income], 
    [Total Revenue], 
    0
) * 100

b) Profit Margin Last Month

DAXCopyEditProfit Margin PM = 
CALCULATE(
    [Profit Margin], 
    PREVIOUSMONTH(DateTable[Date])
)

4. Visualizations & Dashboard Development

The following Power BI visuals are implemented:

1. KPI Cards – Total Revenue, Expenses, Net Income, Profit Margin.
2. Line Charts – Monthly Revenue vs. Previous Month, Profit Margin Trends.
3. Bar Charts – Expense Distribution by Category.
4. Quarterly Comparison – Revenue and Expense trends.

5. Report Deployment & Maintenance

• Data Refresh Setup: Scheduled in Power BI Service.
• Performance Optimization: Indexing in SQL, Aggregations in Power BI.
• User Access Control: Role-based permissions for finance and executives.

Conclusion

This structured approach, using SQL for data extraction, Power Query for transformation, and DAX for calculations, ensures an automated and insightful Financial Overview Dashboard in Power BI. 🚀

Would you like any refinements?

Here are the sample data files for the Financial Overview Dashboard:

1. Download FinancialTransactions.csv
2. Download Expenses.csv

Developed by Muhammad Zahid