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dc.contributor.authorVan der Schraelen, Lennert
dc.contributor.authorWillems, Emma
dc.contributor.authorStouthuysen, Kristof
dc.contributor.authorVerdonck, Tim
dc.contributor.authorGrumiau, Christopher
dc.contributor.authorThoppan Mohanchandralal, Sudaman
dc.date.accessioned2023-03-03T14:18:28Z
dc.date.available2023-03-03T14:18:28Z
dc.date.issued2022en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12127/7194
dc.descriptionThe case is suitable for participants who want to enhance their machine learning and data science skills by solving a real-world application in the insurance industry. By working through the case and assignment questions, students will have the opportunity to do the following: Learn about direct debit and see how it can improve cash flow. Gain preliminary insights using exploratory data analysis. Train and interpret supervised learning algorithms in a binary classification problem. Apply unsupervised techniques such as clustering and gain insights into the data. Obtain relevant business insights from the data and determine how they can be used to drive intelligent decision-making.en_US
dc.description.abstractIn 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.en_US
dc.language.isoenen_US
dc.subjectDebit Paymentsen_US
dc.titleAllianz: Predicting direct debit with machine learningen_US
dc.source.numberofpages9en_US
dc.identifier.iveyW27310
vlerick.casepublisheriveyen_US
vlerick.knowledgedomainAccounting & Financeen_US
vlerick.typecaseCaseen_US
vlerick.vlerickdepartmentAFen_US
dc.identifier.vperid286357en_US
dc.identifier.vperid286362en_US
dc.identifier.vperid119751en_US
dc.identifier.vperid220053en_US


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