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Swiss Re: Digital Life Insurance Data

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通过数据推动更好的人寿保险产品设计和服务

为了让瑞士再保险为我们的客户和业界提供支持,我们首先需要以不同的方式更好地了解我们现有的和潜在的客户,这就是高级数据分析帮助我们改进策略和提高洞察力的方式:

为理想的客户端建模

高级数据分析通过帮助我们理解和分析结果的要素和驱动因素,例如具有较高倾终止、更新、购买第二种产品的客户以及该产品可能是什么,来帮助我们构建更好的预测模型,这些模型是基于当前或潜在客户的个人属性(而不是取自一组客户的阶级、类型或其他特征)。

购买倾向

有了正确的数据,我们现在可以预测潜在客户的需求和购买倾向。这使我们能够更好地专注于提供量身定制的客户行程和保险覆盖范围正确的产品。它还以降低分销成本和提高客户满意度的形式使保险公司获益。

风险分类

预测分析意味着我们现在可以更好地与潜在客户接洽,并因此通过即时报价、简化政策发布或全额承保的方式,根据其需求和情况简化和定制购买行程。

在全球范围内,瑞士再保险一直与我们的客户和生态系统合作伙伴进行合作,为利用数据的人寿保险制定最佳解决方案:

  1. 有效的投资组合

瑞士再保险公司与一个基于数字平台的糖尿病管理项目合作,开展了一项数据驱动的研究,以推断潜在的健康改善对一个保险客户的有效投资组合所产生的影响。该计划旨在管理,改善甚至逆转2型糖尿病、前驱糖尿病和其他代谢综合征。这对有效投资组合的影响显著:预测有1-5%的索赔改善,39%的糖尿病患者糖尿病逆转,70%的参与者在12个月后仍然参与,显示出改善投保人持久性的潜力。

  1. 动态定价

通常情况下,患有2型糖尿病的顾客在想要购买人寿保险时会遇到阻碍,因为许多人已经存在健康问题且患病。在最近的一次测试中,征得参与投保人的同意后,通过糖尿病疾病管理移动应用持续监测其健康状况和血糖水平,并且利用共享数据的形成观点来提醒客户并鼓励其参与提高健康水平的活动。

  1. 死亡率风险评分

LifeScoreLabs和瑞士再保险已通过合作为人寿保险和消费者带来了更透明的承保方案。由万通保险开发的LifeScore360是一种先进的风险评估算法,能够利用从数十年经验中产生的数百万的数据点,得出综合死亡率评分。

 

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