This document discusses using k-means clustering to analyze insurance claim and coverage data to maximize company profits. It analyzes the data by segmenting customers into 5 clusters based on attributes like claim amount, coverage, income, town size, and claim type. The analysis finds that Cluster 2 has the highest claim to coverage ratio at 73% but also has higher average income and fewer customers. It is recommended the company focus on Cluster 2 markets to offer more product types, increase penetration, reduce claim ratios, and boost profits.