Case Study on Modernizing Data Architecture
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.
Register for A Modern Data Success Story on-demand to learn how Qlik, Confluent, and Microsoft can help you to:
- Build A Modern Streaming Foundation - Ingest real-time data with CDC technology from a wide breadth of sources
- Keep Data In Motion - Continuously stream data from mission critical production systems
- Enable Real-Time analytics - Create analytic data pipelines that deliver the freshest data to enable advanced analytics use cases
- Low Code/No Code - Automate the processes to prepare continuous data streams with no hand coding required
Find out how to unlock the true potential of data from legacy systems.
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