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Modernize Core Banking Systems With Confluent

Incrementally modernize core banking processes without disruption to mission-critical workloads. Transform mainframe data to a secure data streaming platform to safely scale and meet customer demand for real-time product experiences.

Operationalize Real-Time Processes on Legacy Data Infrastructure

A core banking system is the workhorse of a financial institution, the back-end system that handles the bank’s most mission-critical operations including transaction processing, account management, payments, and loans. Driven by mainframes, these powerful engines are designed to process high volumes of transactions daily across every connected branch of the bank and interface with the general ledger, all with unwavering resilience.

As more banking operations move towards cloud for real-time customer experiences, Confluent enables a scalable, cost-effective and secure way to access this critical mainframe data without risk of disruption to critical workloads.

Unlock critical mainframe data from core banking systems of record.

Reduce mainframe operating costs.

Enrich data in real time to power cloud-native applications and systems such as Next Best Offer (NBO).

Build with Confluent

This use case leverages the following building blocks in Confluent Cloud.

Reference Architecture

The sample reference architecture below illustrates how Confluent’s data streaming platform can extend mainframe data to cloud systems for an NBO application.

Connect

Confluent’s fully managed source connectors for IBM MQ and Oracle DB enable real-time access to mainframe data without incurring MSU costs or licensing costs.

Stream Processing

Once data is unlocked to the streaming data platform, Flink is used for streaming data enrichment for near real-time customer experience, such as sending NBO push notifications and tracking customer conversion.

Downstream Delivery

Sink data to MongoDB Atlas to round out your modern core banking architecture.

Resources

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