Par for Partnerships

This project explores effective partnerships in business and technology sectors through data analysis of successful and failed business collaborations.

I analyzed data from over 200 business partnerships formed between 2015-2020 to identify key factors that contribute to successful collaborations.

Key Findings

• Partnerships with clearly defined roles and responsibilities were 3x more likely to meet their stated objectives
• Regular communication cadence was the strongest predictor of partnership longevity
• Complementary skill sets outperformed similar skill sets in terms of innovation metrics

Methodology

I collected data through surveys and interviews with business leaders, combined with public financial data. Analysis was performed using Python with scikit-learn for predictive modeling.