America’s #1 wholesale lender needed to modernize. United Wholesale Mortgage (UWM) relies on financial technology to help their brokers close faster than competitors. Their traditional ETL approach, however, was labor-intensive, prone to error and slow. They needed to modernize their architecture for cloud analytics.

In a relatively short time, UWM was able to convert their data sources into live data streams in order to better utilize their data lakes for machine learning. UWM is now able to dramatically increase the speed, accuracy, and access of customer related loan information, while reducing CPU utilization and computing costs. How? Through a combination of Qlik, Confluent for Apache Kafka®, and Microsoft® Azure Synapse.

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