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.
🚀 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!
✨ 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 frameworksHOW_IT_WORKS.md- For non-technical MBA studentsREADME_DATA_STRATEGY.md- About our curated data approachFUTURE_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:
- Add Company Data: Research and add new companies
- Improve Frameworks: Enhance visualizations
- Write Examples: Create tutorials
- Report Bugs: Open GitHub issues
- 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
.mdfiles 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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