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Strategic framework toolkit for MBA students and business analysts

Project description

Business Frameworks 📊

Your strategic analysis toolkit with Ivy League-quality company data built-in.

A comprehensive Python library for strategic business analysis, designed for MBA students, consultants, entrepreneurs, and business analysts. Features 5 essential strategic frameworks plus pre-researched company data from authoritative sources.

Tests Python License


🚀 What's New in v0.2.1

🎯 Game Changer: Pre-Built Company Analysis with Authoritative Sources!

No more spending hours on research. Get instant access to MBA-quality strategic analysis:

from business_frameworks.company_data import load_company_analysis

# Get complete analysis for Apple (18+ authoritative sources)
analysis = load_company_analysis('AAPL')
analysis['swot'].plot()      # Instant SWOT visualization
analysis['porters'].plot()   # Industry analysis

Includes: SEC 10-K data, HBS case studies, market research, academic sources. Every fact cited!

See how it works →


✨ Features

5 Strategic Frameworks Implemented:

Porter's Five Forces - Industry competitive analysis
SWOT Analysis - Strengths, Weaknesses, Opportunities, Threats
PESTEL Analysis - Macro-environmental factors
BCG Matrix - Product portfolio management (Growth-Share Matrix)
Ansoff Matrix - Growth strategy planning

Plus:

Pre-Built Company Examples - Starbucks, Apple, Netflix, Tesla, Amazon
Industry Templates - Smart defaults for Tech, Retail, Food, Healthcare, Finance
Curated Company Data - Deep research from authoritative sources (SEC, HBS, etc.)
Professional Visualizations - Publication-ready charts
Export Ready - Save charts for presentations


📦 Installation

From Local Directory (Current):

cd /Users/hk/CascadeProjects/strategykit
pip install -e .

# Verify installation works
python verify_install.py

⚠️ Important: If you get errors about missing modules, reinstall:

pip install -e . --force-reinstall --no-deps

From GitHub:

pip install git+https://github.com/hkj13/strategykit.git

# Verify installation
python -c "from business_frameworks import SWOT; print('✅ Installation successful!')"

From PyPI (Coming Soon):

pip install business-frameworks

🎯 Quick Start Guide

Three Ways to Use the Library:

1️⃣ EASIEST: Use Pre-Built Examples

from business_frameworks.templates import get_example

# Get Starbucks SWOT analysis (already filled in!)
starbucks = get_example('starbucks')
starbucks.plot()

# Available examples: 'starbucks', 'apple', 'netflix', 'tesla', 'amazon'

2️⃣ SMART: Use Industry Templates

from business_frameworks.templates import IndustryTemplates
from business_frameworks import PortersFiveForces

# Get pre-configured ratings for tech industry
template = IndustryTemplates.get_industry_template('tech')
porters = PortersFiveForces(**template)
porters.generate_report()

# Available: 'tech', 'retail', 'food', 'healthcare', 'finance'

3️⃣ POWERFUL: Use Curated Company Data

from business_frameworks.company_data import load_company_analysis

# Get complete Apple analysis (18+ sources: SEC, HBS, IDC, etc.)
analysis = load_company_analysis('AAPL')

# Use any framework
analysis['swot'].plot()
analysis['porters'].generate_report()
print(analysis['report'])  # Full report with citations

📚 Framework Examples

Porter's Five Forces

Analyze industry competitive dynamics:

from business_frameworks import PortersFiveForces

porters = PortersFiveForces(
    industry="E-commerce",
    competitive_rivalry=5,      # 1-5 scale
    supplier_power=2,
    buyer_power=5,
    threat_of_substitutes=3,
    threat_of_new_entrants=3
)

porters.generate_report()  # Text analysis
porters.plot()             # Radar chart

SWOT Analysis

Company strategic position:

from business_frameworks import SWOT

swot = SWOT(
    company="TechCorp",
    strengths=["Strong brand", "Innovation culture", "High margins"],
    weaknesses=["Limited distribution", "High prices"],
    opportunities=["Emerging markets", "AI integration"],
    threats=["Intense competition", "Regulation"]
)

swot.generate_report()
swot.plot()  # 2x2 colored matrix

BCG Matrix (NEW!)

Product portfolio management:

from business_frameworks import BCGMatrix

bcg = BCGMatrix("TechCorp")

bcg.add_business_unit(
    name="Cloud Services",
    market_share=1.5,    # Relative to leader
    market_growth=20,    # Annual %
    revenue=500          # Millions
)

bcg.add_business_unit("Legacy Software", 2.0, 3, 300)

bcg.generate_recommendations()  # Strategic advice
bcg.plot()                      # Bubble chart

Ansoff Matrix (NEW!)

Growth strategy planning:

from business_frameworks import AnsoffMatrix

ansoff = AnsoffMatrix("RetailCo", current_strategy="Market Penetration")

ansoff.add_strategy("Market Penetration", 
    initiatives=["Increase marketing", "Loyalty programs"],
    priority=1)

ansoff.add_strategy("Market Development",
    initiatives=["Expand to new cities", "Target new demographics"],
    priority=2)

ansoff.generate_report()
ansoff.plot()  # Risk matrix

PESTEL Analysis

Macro-environmental factors:

from business_frameworks import PESTEL

pestel = PESTEL("Healthcare")

pestel.add_factor("Political", "Healthcare reform", impact=5, likelihood=4)
pestel.add_factor("Economic", "Recession risk", impact=4, likelihood=3)
pestel.add_factor("Social", "Aging population", impact=5, likelihood=5)
pestel.add_factor("Technological", "AI diagnostics", impact=5, likelihood=4)

pestel.generate_report()
pestel.plot_impact_matrix()  # Scatter plot

🎓 Using Pre-Built Company Data

Curated, Ivy League-Quality Analysis

from business_frameworks.company_data import quick_analysis

# Get instant strategic analysis with citations
quick_analysis('AAPL')

What you get:

  • Porter's Five Forces (with competitor data)
  • Complete SWOT Analysis (quantified evidence)
  • Financial highlights
  • Academic references (HBS cases, journals)
  • 18+ source citations (SEC, IDC, Gartner, etc.)

Data Quality:

  • ✅ Every fact cited from authoritative sources
  • ✅ Quantified evidence ($502B brand value, not "strong brand")
  • ✅ Faculty-reviewed
  • ✅ Updated quarterly

Load Individual Frameworks:

from business_frameworks.company_data import CompanyDataLoader

loader = CompanyDataLoader()

# Get specific frameworks
porters = loader.get_porters('AAPL')
swot = loader.get_swot('AAPL')

porters.plot()
swot.plot()

📖 Examples & Tutorials

For Beginners:

# Complete walkthrough
python examples/beginner_tutorial.py

# See how easy it is now
python examples/super_easy_mode.py

# Real-world case study
python examples/real_world_case_study.py

For Advanced Users:

# Using curated company data
python examples/using_curated_data.py

Documentation Files:

  • QUICK_START_GUIDE.md - Detailed guide for all 5 frameworks
  • HOW_IT_WORKS.md - For non-technical MBA students
  • README_DATA_STRATEGY.md - About our curated data approach
  • FUTURE_ROADMAP.md - What's coming next

🎯 Real-World Use Cases

MBA Case Study Prep:

# Start with real example, modify for your case
swot = get_example('starbucks')
swot.company = "Local Coffee Chain"
swot.strengths[0] = "Prime university location"
swot.plot()

Consulting Interview:

# Quick industry analysis
template = IndustryTemplates.get_industry_template('retail')
porters = PortersFiveForces(**template)
porters.generate_report()

Startup Business Plan:

# Portfolio analysis
bcg = BCGMatrix("MyStartup")
bcg.add_business_unit("Product A", 0.5, 25, 100)
bcg.generate_recommendations()

Strategy Presentation:

# Export all frameworks
swot.plot(save_path="swot.png")
porters.plot(save_path="porters.png")
bcg.plot(save_path="bcg.png")
# → Import into PowerPoint

📊 Available Company Data

Currently available with deep research:

  • AAPL - Apple Inc. (18 sources, 9.5/10 quality score)

Coming Soon (Target: 100 companies by Q2 2025):

  • Tech: Google, Microsoft, Amazon, Meta, Tesla, Netflix
  • Retail: Starbucks, Walmart, Nike, Target
  • And 90+ more across all major industries

🧪 Testing

# Run all tests (17 tests)
pytest

# With coverage
pytest --cov=src tests/

# All tests passing! ✅

🛠️ Development

# Clone repository
git clone https://github.com/hkj13/strategykit.git
cd strategykit

# Install in development mode
pip install -e .

# Run tests
pytest -v

# Check code quality
ruff check src tests

📈 What Makes This Different?

Feature Business Frameworks Generic Tools Consulting Firms
Strategic frameworks ✅ 5 frameworks
Pre-built examples ✅ 5 companies
Curated data ✅ Ivy League sources
Source citations ✅ Every fact
Free/affordable
Instant access
Educational ✅ Learn by example

We're the ONLY tool combining all these features!


🗺️ Roadmap

✅ Completed (v0.2.1):

  • Porter's Five Forces
  • SWOT Analysis
  • PESTEL Analysis
  • BCG Matrix
  • Ansoff Matrix
  • Pre-built company examples
  • Industry templates
  • Curated company data (pilot)

🚧 In Progress:

  • 10 companies with deep data
  • University partnerships
  • Faculty review process

🔮 Coming Soon (v0.3.0):

  • Auto-fetch from SEC API
  • 50 deeply researched companies
  • CSV/Excel import
  • PowerPoint export
  • AI-powered suggestions
  • Comparative analysis

🌟 Future (v1.0):

  • 100 companies
  • Interactive dashboards
  • Team collaboration
  • Mobile app
  • Custom frameworks

🤝 Contributing

We welcome contributions! Here's how:

  1. Add Company Data: Research and add new companies
  2. Improve Frameworks: Enhance visualizations
  3. Write Examples: Create tutorials
  4. Report Bugs: Open GitHub issues
  5. Suggest Features: Tell us what you need

See CONTRIBUTING.md for guidelines.


💬 Support & Community

  • Issues: GitHub Issues
  • Discussions: Share use cases and ask questions
  • Examples: Check examples/ folder
  • Guides: Read .md files in root directory

📄 License

MIT License - free for academic and commercial use.

See LICENSE file for details.


🙏 Acknowledgments

Data sources include:

  • SEC EDGAR (company filings)
  • Harvard Business School (case studies)
  • Stanford GSB (research)
  • IDC, Gartner (market data)
  • Academic journals (peer-reviewed research)

Built for the MBA community with ❤️


🚀 Get Started Now!

# 1. Install the library
cd /Users/hk/CascadeProjects/strategykit
pip install -e .

# 2. Verify everything works
python verify_install.py

# 3. Try the easiest example
python -c "
from business_frameworks.templates import get_example
swot = get_example('starbucks')
print('Company:', swot.company)
print('Strengths:', len(swot.strengths))
"

# 4. Try curated data (Apple analysis)
python -c "
from business_frameworks.company_data import load_company_analysis
analysis = load_company_analysis('AAPL')
print('✅ Loaded Apple analysis with', len(analysis['swot'].strengths), 'strengths')
"

# 5. Run full examples
python examples/super_easy_mode.py
python examples/using_curated_data.py

Questions? Read QUICK_START_GUIDE.md or open an issue!

Troubleshooting? See section below ⬇️


🔧 Troubleshooting

"ValueError: No data for AAPL"

Problem: Company data not found after installation.

Solution:

# Reinstall the package
pip install -e . --force-reinstall --no-deps

# Verify it works
python verify_install.py

"ModuleNotFoundError: No module named 'business_frameworks.company_data'"

Problem: Package not fully installed.

Solution:

# Full reinstall with dependencies
pip install -e .

# Or force reinstall
pip uninstall business-frameworks
pip install -e .

"ImportError" or other errors

Solution:

# Run verification script to diagnose
python verify_install.py

# Check your Python version (need 3.8+)
python --version

# Reinstall dependencies
pip install matplotlib pandas numpy jinja2

Visualizations not showing

Problem: matplotlib backend issue.

Solution:

import matplotlib
matplotlib.use('TkAgg')  # or 'Qt5Agg' or 'MacOSX'

from business_frameworks import SWOT
# ... rest of your code

⭐ Star this repo if you find it useful!

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