P&C Analytics

Harvest data insights to navigate today's complex risk landscape and profitably grow your business.

Today 92% of insurers expect big data to generate significant improvements to their marketing, client experience, underwriting and claims management. Companies using data analytics have a distinct advantage and can harvest data for more accurate and earlier insights from the ever exploding data.

Swiss Re leverages its global footprint, deep understanding of insurance, tremendous access to data and state of the art data science capabilities to equip our insurance clients across the globe with the right tools and actionable data insights. We turn to our proprietary risk models and tools, external data sources and rely on machine learning how data is collected and analysed.?

Use analytics to grow a new business segment

We provide holistic insurance market insights and to expand specific segments and geographies. A client was able to save USD 2m due to a more targeted agent network and grew sales by USD 50m.


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Understand risks in global supply chains

Supply chain bottlenecks are a large challenge for the manufacturing industry. Swiss Re’s analytics increase the transparency in highly complex manufacturers and provide key risk insights in our clients portfolio. For one single insurance company only, we assessed more than 52’000 automotive suppliers and developed a new model for supplier risk.

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Price your commercial liability risks

In order to cope with the broad liability risk spectrum and changing landscape, we developed a pricing model - Liability Risk Drivers (LRD) - for commercial risks. It covers 188 industries and 72 countries.

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Transforming data into insights

Our Portfolio Insights platform provides clear and intuitive statistical information on your portfolio with dynamic drill down functionality. In a single view you can gain insights on underlying loss drivers, frequency and severity trends, and enhance your underwriting strategy through the integration of external data.

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Use cases and related content:

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    Publication sigma 4/2019: Advanced analytics

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  • Property & liability risk/cat analytics. Understanding and mitigating clients' accumulation loss scenarios

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  • Customer journey and platform consultancy: A state-of-the-art online experience is becoming crucial for the future success of retail insurance

  • Life science savvy – one stop data insights for life science underwriting

  • Forward-looking modelling

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