Security Budget Calculator

A Streamlit-based web application that helps security vendors understand typical IT and Security budgets across different industries to better price their solutions.

Overview

This calculator is inspired by Oliver Rochford's analysis: "Why you are probably pricing your security solution all wrong."

You can use a Live version of the app here: Security Budget Calculator

The application provides:

• Interactive budget visualization
• Industry-specific benchmarks
• Custom industry support
• Detailed budget breakdowns
• Pricing recommendations
• NAICS industry analysis
• Sector TAM (Total Addressable Market) analysis

Features

• Budget Calculator Tab

  • Interactive charts showing security budgets across revenue points
  • Real-time budget calculations
  • Industry-specific recommendations via radio button selection
  • Visual budget breakdowns

• Industry Benchmarks Tab

  • Comprehensive industry data visualization
  • IT and Security budget ranges
  • Custom industry support
  • Reference tables and methodology

• NAICS Analysis Tab

  • Distribution of businesses by revenue tier
  • Analysis based on NAICS industry codes
  • Official business statistics integration

• Sector TAM Analysis Tab

  • Total Addressable Market calculations by sector
  • Company count and security budget visualizations
  • Excludes outlier categories for clearer data representation

Installation

1. Clone the repository:

git clone https://github.com/orochford/calculator.git
cd calculator

2. Create a virtual environment (recommended):

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

Usage

Run the application:

streamlit run app.py

The application will open in your default web browser at http://localhost:8501.

Data Sources

The application uses NAICS data from the included Excel file (usbusinesses.xlsx) to calculate the Total Addressable Market (TAM) for IT and security budgets across different sectors.

Dependencies

• streamlit
• pandas
• plotly
• numpy
• Pillow
• openpyxl

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the BSD License - see the LICENSE file for details.

Author

Created by Oliver Rochford

Acknowledgments

• Data sources: Gartner, IDC, Deloitte, Flexera, HIMSS, EDUCAUSE
• Inspired by Oliver Rochford's analysis on security solution pricing