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Pega Boosts Hit Rate for Global Insurer

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Overview.

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.

Challenges

This global P&C insurer grappled with several underwriting hurdles:

  • Slowing Premium Growth: Stagnant premium growth, especially in a soft market environment, threatened the company's profitability.
  • Low Quote Conversion Rates: A low quote-to-policy conversion rate indicated missed opportunities to convert potential customers. This inefficiency translated to lost revenue.
  • Limited Customer Segmentation: Underwriting decisions lacked the granularity of data-driven segmentation. Without a clear understanding of risk profiles, the company couldn't tailor its offerings effectively.

Solution

  • Data Cleansing & Analysis: Coforge experts meticulously cleansed and analyzed vast amounts of historical insurance data to identify patterns and trends. This process unearthed key risk factors that significantly influence underwriting decisions.
  • Actionable Insights Model: Leveraging Pega 7.3 and Pega DM 7.3, Coforge built a sophisticated analytical model. This model extracted valuable insights from the cleansed data, providing underwriters with actionable recommendations for more informed decision-making.
  • Efficient Delivery Model: To ensure project success within a tight timeframe, Coforge employed a combined onshore-offshore delivery model. This approach utilized a 15% onshore team for close collaboration and an 85% offshore team for efficient development, delivering the solution in just 5 weeks.

The Impact

  • Significantly Improved Hit Rate with high Quote-to-Policy Conversion
  • Enhanced Underwriting Efficiency with Data-Driven Risk Assessment
  • Reduced Risk Assessment Cost through Improved Risk Understanding

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