Case Study: Arvato Financial Solutions improves e-commerce fraud recognition with Microsoft Corporation Azure

Improving fraud recognition with Microsoft Azure

Arvato Financial Solutions wanted to improve e-commerce fraud detection and explore new BPO services, but its existing risk-management methods were struggling to keep up with fast-changing fraud tactics. Working with Microsoft Corporation and its Azure cloud platform, the company set out to process large volumes of transaction data in real time and build more effective, scalable fraud recognition capabilities.

Microsoft Corporation helped Arvato Financial Solutions implement a lambda architecture on Microsoft Azure using Azure Event Hubs, Azure HDInsight, Azure Machine Learning, and Power BI. The solution combined batch and stream analytics to detect fraud faster, improve monitoring, and support continuous model refinement, helping Arvato improve fraud recognition and create a foundation for new cloud-based financial BPO services.

Arvato Financial Solutions

Andreas Czermak

Director of Big Data Projects & Strategy