A leading global property and casualty (P&C) insurance company, writing over $1.2 billion in premiums annually, faced challenges in a competitive market. They experienced stagnant premium growth, particularly during soft market conditions, and low quote-to-policy conversion rates. Additionally, their underwriting lacked targeted segmentation based on various risk factors, leading to missed opportunities. To address these challenges, the company partnered with Coforge. Coforge leveraged Pega data analytics to identify key risk factors and build an underwriting decision-support model, leading to significant improvement in hit rates and risk assessment.