1.1 Purpose
The Financial Analytics Dashboard provides a comprehensive view of financial performance, including balance sheet insights, income statement analytics, and key financial ratios. The dashboard aims to assist finance teams, executives, and decision-makers in monitoring financial health and making data-driven decisions.
1.2 Scope
This dashboard is designed for financial analysts, CFOs, and executive leadership to analyze key financial metrics across multiple periods and organizational levels. It enables users to track revenue, expenses, profitability, and financial ratios to optimize financial performance.
1.3 Audience
- Financial Analysts
- CFOs and Finance Executives
- Accounting Teams
- Business Decision-Makers
2. Dashboard Features & Functionalities
2.1 Balance Sheet Analytics
- Current Ratio Analysis
- Cash Ratio Analysis
- Debt to Equity Ratio
- Breakdown of Assets, Liabilities, and Owner’s Equity
- Monthly Trends in Financial Position
2.2 Income Statement Analytics
- Gross Profit Margin Analysis
- Net Profit Margin Calculation
- Operating Expenses Ratio
- Breakdown of Net Income, Revenue, and Cost of Sales
- Operating Expenses by Category (Commissions, Depreciation, Marketing, etc.)
2.3 Financial Ratios & Performance Trends
- Quarterly and Yearly Comparisons
- Revenue vs. Expenditure Trend Analysis
- Taxation and Interest Expense Tracking
- Foreign Exchange Gain/Loss Analysis
2.4 Filtering & Segmentation
- Year Selection (2017, 2018, 2019, etc.)
- Quarter Selection (Q1, Q2, Q3, Q4)
- Organization/Region Selection
- Account Type (Liabilities, Revenue, Expenditure, etc.)
3. Data Sources & Integration
- ERP System (Enterprise Resource Planning)
- General Ledger & Financial Statements
- Accounting Software (SAP, QuickBooks, etc.)
- Taxation & Compliance Databases
4. User Requirements
4.1 Functional Requirements
- Ability to filter financial data by year, quarter, region, and account type
- Interactive charts and financial ratio calculations
- Exportable reports for executive summaries and presentations
- Automated data refresh for up-to-date financial insights
4.2 Non-Functional Requirements
- Performance: Ensure that dashboard queries return results within 5 seconds
- Security: Implement role-based access control for sensitive financial data
- Scalability: Support increasing financial data as the organization grows
5. Key Performance Indicators (KPIs)
- Gross Profit Margin
- Net Profit Margin
- Current Ratio & Cash Ratio
- Debt to Equity Ratio
- Revenue vs. Expense Trends
- Operating Expense Distribution
- Tax & Interest Expenses Over Time
6. Assumptions & Constraints
- Data should be sourced from reliable financial systems
- User access must be managed based on financial roles
- Historical data availability might be limited for some reports
7. Project Completion Method
7.1 SQL Queries
- Extract financial data from multiple sources.
- Transform and clean data for accuracy and consistency.
- Example SQL Query to retrieve financial ratios:
SELECT Year, Quarter, OrganizationName, (CurrentAssets / CurrentLiabilities) AS CurrentRatio, (Cash / TotalAssets) AS CashRatio, (TotalLiabilities / OwnersEquity) AS DebtToEquityRatio FROM FinancialData WHERE Year = 2024; - Queries to calculate revenue trends, expense breakdowns, and profitability analysis.
7.2 Power Query
- Connect Power BI to SQL databases and accounting systems.
- Perform ETL (Extract, Transform, Load) operations:
- Data cleansing (handling missing values, removing duplicates)
- Data merging from different financial sources
- Creating calculated columns for financial ratios
- Example Power Query transformation:
let Source = Sql.Database("ServerName", "DatabaseName"), FinancialTable = Source{[Schema="dbo", Item="FinancialData"]}[Data], FilteredRows = Table.SelectRows(FinancialTable, each [Year] = 2024) in FilteredRows
7.3 DAX (Data Analysis Expressions)
- Create calculated measures for financial KPIs.
- Example DAX formula for Net Profit Margin:
Net Profit Margin = DIVIDE( SUM(IncomeStatement[NetIncome]), SUM(IncomeStatement[NetSales]) ) - DAX measures for analyzing revenue, expense trends, and financial health.
8. Conclusion
The Financial Analytics Dashboard provides valuable insights into an organization’s financial health, helping finance teams and executives make informed decisions. The dashboard will continue evolving based on business needs and user feedback.
sample data files for the Financial Analytics Dashboard, including:
- Balance Sheet Data (CSV) – Assets, liabilities, and owner’s equity.
- Income Statement Data (CSV) – Revenue, expenses, and net income details.
- Financial Ratios Data (CSV) – Key financial ratios like current ratio, cash ratio, and debt-to-equity.
Developed by Muhammad Zahid
