Judo Bank, Australia's first challenger bank for SMEs, is leveraging Confluent Cloud and Apache Kafka to transform its data infrastructure and replace point-to-point integrations. The goal is to create a unified system for their CRM, loan origination, and core banking services, enabling better data management, faster time to market, and support for microservices. This new architecture improves data availability and agility, reducing system synchronization time from hours to seconds. The bank plans to continue using event streaming and real-time data processing to enhance customer experiences and operational efficiency.

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