Financial Analysis App

Overview

The Financial Analysis app is a powerful tool designed to help you extract, organize, and analyze financial information from various documents. By processing financial statements, reports, invoices, and other financial documents, the app provides valuable insights, summaries, and structured data to help you understand financial positions and make informed decisions.

What It Does

The Financial Analysis app:

• Extracts financial data from uploaded documents
• Identifies and categorizes key financial metrics
• Creates structured data in CSV format for further analysis
• Provides a comprehensive written financial analysis
• Generates a summary of all processed documents
• Highlights important financial insights and trends

Getting Started

Accessing the App

1. Log in to your Numa platform
2. Navigate to the Applications dashboard
3. Locate and select the "Financial Analysis" app

Step-by-Step Usage

The app guides you through a simple two-step process:

1. Upload Documents: Upload the financial documents you want to analyze.
   
2. Analyze Documents: Start the automated analysis process by clicking on the 'Run app' button.
   

Input Details

Document Upload

• Supported formats: PDF, DOCX, XLSX, CSV, TXT
• Multiple documents: You can upload multiple files for combined analysis
• Best practices:
  • Ensure documents are clearly formatted with distinct sections
  • Break very large documents (over 60 pages) into smaller parts for optimal processing

Document Types

The app can process a wide variety of financial documents, including:

• Bank statements
• Income statements
• Balance sheets
• Cash flow statements
• Tax returns
• Loan statements
• Property financial reports
• Rental income statements
• Financial summaries

Output Details

After processing, the app generates three main outputs:

1. Financial Analysis Report

A comprehensive written analysis that includes:

• Overall financial position summary
• Key financial highlights
• Income analysis
• Expense breakdown
• Asset and liability assessment
• Loan-related information (if present)
• Property details (if present)
• Financial insights and recommendations

2. Document Summary

A concise overview of all analyzed documents featuring:

• Summary of document contents
• Key information from each document
• Important dates and figures
• Cross-document relationships

3. Structured Data (CSV)

A spreadsheet-compatible file containing structured financial data with:

• Categorized financial metrics
• Numerical values extracted from documents
• Data organized by categories such as income, expenses, assets, and liabilities

Financial Categories

The app can identify and extract numerous financial categories, including:

Property and Loan Information

• Loan balance
• Interest rate
• Interest on loan
• Loan limit
• Location/address of property

Income Categories

• Rental income
• Other rental income
• Total rental income
• Sundry income

Expense Categories

• Borrowing costs
• Body corporate fees
• Council rates
• Cleaning expenses
• Depreciation
• Agent fees
• Insurance
• Land tax
• Repairs
• Capital works deduction
• Water rates
• Sundry expenses
• Total rental expenses

Tips for Best Results

1. Provide Complete Documents: Upload complete financial statements rather than partial documents for more accurate analysis.
2. Include Context: When analyzing loan or property documents, try to include all related statements to give the app more context.
3. Use Multiple Document Types: Include different types of financial documents (statements, summaries, reports) for a more comprehensive analysis.
4. Check Document Clarity: Ensure your documents have clear sections, headings, and readable text for optimal data extraction.
5. Review All Three Outputs: The financial analysis, document summary, and CSV data complement each other and provide different perspectives on your financial information.

Understanding the Results

Financial Analysis Report

The report is organized in sections:

• Executive Summary: Brief overview of financial position
• Home Loan Section (if applicable): Information about properties, mortgage details, and property-related finances
• Income Analysis: Breakdown of income sources
• Expense Analysis: Categorized expenses and trends
• Net Position: Overall financial standing
• Insights and Recommendations: Key observations and suggested considerations

CSV Data Structure

The CSV file organizes data by:

• Category (e.g., income, expense, asset)
• Subcategory (specific type of financial item)
• Value (numerical amount)
• Source document (which document the data was extracted from)
• Confidence score (how certain the system is about the extraction)

Limitations

• The app primarily focuses on text-based financial data and may not fully interpret complex charts or graphs
• Very specialized financial terminology or unusual document formats may result in less precise extraction
• Documents exceeding 60 pages may need to be divided into smaller files due to processing limitations
• While the app provides financial insights, it does not offer financial advice or make investment recommendations

Common Use Cases

The Financial Analysis app is particularly valuable for:

1. Property Investment Analysis: Understanding rental property finances, expenses, and returns
2. Loan Assessment: Analyzing loan terms, balances, and interest rates
3. Financial Reporting: Preparing summaries of financial positions from multiple documents
4. Tax Preparation: Organizing financial information prior to tax filing
5. Financial Health Checks: Getting a comprehensive overview of financial position

Support

If you encounter any issues or have questions about the Financial Analysis app, please contact our support team at customersuccess@arcanum.ai.