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Allianz: Improving P&L through Machine Learning
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. -
Allianz: Improving P&L through Machine Learning, Student Spreadsheet
Spreadsheet Supplement for Case W27373 -
Allianz: Predicting Direct Debit with Machine Learning
In January 2021, the chief data and analytics officer (CDAO) at Allianz Benelux SA (Allianz) spotted a possible opportunity to optimize cash flow with direct debit. Direct debit was a pre-authorized financial transaction between two parties where the amount due was directly and automatically collected from the payer's bank account. Direct debit would allow Allianz to shorten payment processes, reduce risks by anticipating payments, and improve customer loyalty. Despite the clear advantages of direct debit for both clients and insurers, only a few of Allianz's clients were currently making use of direct debit. It was not clear what drove Allianz's customers or brokers to implement direct debit. This was where the CDAO and his data office team came in. The data office possessed a large amount of data on Allianz's property and casualty insurance contracts and customers. Now the team needed to investigate how this data could be leveraged to determine the value drivers and develop a strategy to convert more clients to direct debit payments. -
Allianz: Predicting Direct Debit with Machine Learning, Student Spreadsheet
Spreadsheet Supplement for Case W27310