Afterpay reduces fraud risk with Cloudera while managing data at scale

Afterpay reduces fraud risk with Cloudera while managing data at scale

Cloudera, the hybrid data company, has announced that Afterpay is using the Cloudera Data Platform (CDP) to run streaming analytics and advanced Machine Learning for real-time fraud detection. This helps Afterpay identify, access and reduce business risk relating to fraud for its 3.6 million customers, delivering on the company’s mission to power an economy which offers consumers better financial access, inclusion and experience.

As a leading BNPL provider, the ability to ingest data from millions of transactions to identify duplicates and anomalies across its expansive customer base is critical. Given the eight-fold increase of its daily transactions from 100 million to 800 million in under a year, Afterpay required a more stable production environment to accommodate large-scale data to ensure analytics can be performed accurately at speed without compromising operational efficiencies.

Existing in-house tools then were inadequate in managing these internal analytics requirements. The data platform also had to be flexible, scalable and built for growth to accommodate new and additional services and solutions to support Afterpay’s rapid expansion across the region and globally.

Harnessing analytics capabilities on CDP Public Cloud, Afterpay’s engineers are now able to produce up to 800 million hybrid data streaming events and batch features for the data analysis team to perform fraud and predictive analytics for more data-driven and accurate insights.

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