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The use of predictive analytics technology to detect credit card fraud in Canada

机译：使用预测分析技术检测加拿大的信用卡欺诈

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Credit card fraud losses in Canada continue to increase despite the availability of various prevention technologies. To reduce financial loss and reputational risks, credit card companies and financial institutions in Canada have adopted fraud monitoring solutions such as Predictive Analytics Technologies (PAT) as part of fraud prevention programs to mitigate credit card fraud. This research paper focuses on the creation of a scorecard from relevant evaluation criteria, features, and capabilities of predictive analytics vendor solutions currently being used to detect credit card fraud. The scorecard provides a side-by-side comparison of five credit card predictive analytics vendor solutions adopted in Canada. From the ensuing research findings, a list of credit card fraud PAT vendor solution challenges, risks, and limitations was outlined.
机译：尽管有各种预防技术，加拿大的信用卡欺诈损失仍在继续增加。为了减少财务损失和声誉风险，加拿大的信用卡公司和金融机构已采用诸如Predictive Analytics Technologies（PAT）之类的欺诈监控解决方案作为欺诈预防计划的一部分，以减轻信用卡欺诈。本研究论文着重于根据相关评估标准，功能和预测分析供应商解决方案的功能来创建记分卡，该解决方案目前用于检测信用卡欺诈。计分卡提供了加拿大采用的五种信用卡预测分析供应商解决方案的并排比较。从随后的研究发现中，概述了信用卡欺诈PAT供应商解决方案的挑战，风险和局限性。

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