When analyzing investment opportunities, private equity firms traditionally rely on standard financial metrics and market analysis. However, this approach often misses complex relationships between different factors that influence company performance.

Policy advocacy is a high-stakes game where influence is often hidden beneath the surface. Organizations struggle to identify key stakeholders, understand their relationships, and predict their impact on policy outcomes.

The analysis used topological data analysis to examine the geometric structure of store performance data, revealing distinct patterns and clusters that weren't visible through traditional statistical approaches. Store locations with similar characteristics were connected in a network visualization, with different metrics represented by color coding.