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> Allianz: Improving P&L through Machine Learning

商品編號: W27373
出版日期: 2022/12/20
作者姓名:
Heyvaert, Carl-Erik;Darmawan, Viola;Stouthuysen, Kristof;Verdonck, Tim;Grumiau, Christopher;Mohanchandralal, Sudaman Thoppan
商品類別: Other
商品規格: 6p

再版日期:
地域: Belgium
產業: Insurance industry
個案年度: -  

 


商品敘述:

During an Allianz Benelux SA (Allianz) board meeting held in early 2019, Allianz''s chief financier officer (CFO) had a profound discussion with Allianz''s chief data and analytics officer (CDAO) on improving the company''s profit and loss (P&L) statement by targeting problematic cases among disability claims related to Allianz''s life insurance product. It appeared that certain claims had very long durations, leading to recurrent payouts surpassing the total amount of premiums. Consequently, there were too many claims that could translate into future losses. If this phenomenon persisted, Allianz could lose millions of dollars in revenues. Therefore, the CFO contacted the CDAO and his data office and requested that the team identify the client segments in which the most problematic cases of disability claims occurred. Additionally, the CFO wanted the data office to build a predictive model that could estimate the duration of a claim, to adapt the premium coverage to specific customer segments. Carl-Erik Heyvaert is affiliated with Vlerick Business School; ; Kristof Stouthuysen is affiliated with Vlerick Business School


涵蓋領域:

Finance and investing;AI and machine learning


相關資料:

, (W27374), p, by Carl-Erik Heyvaert, Viola Darmawan, Kristof Stouthuysen, Tim Verdonck, Christopher Grumiau, Sudaman Thoppan Mohanchandralal;
, (W27375), p, by Carl-Erik Heyvaert, Viola Darmawan, Kristof Stouthuysen, Tim Verdonck, Christopher Grumiau, Sudaman Thoppan Mohanchandralal