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Streaming Data Empowers RBC to be Data Driven

There isn’t another product that competes with Confluent Platform. Streaming data as events enables completely new ways for solving problems at scale.

Mike Krolnick | Head of Engineering, Enterprise Cloud
RBC

Challenge

Improve the customer experience through data while staying compliant with industry regulations

Solution

Implemented Confluent Platform to stream data in real time, migrate to an event-based architecture and embark on a microservices transformation

Results

  • Higher quality, faster and scalable customer services
  • Increased efficiency in application building
  • Lowered anomaly detection time from weeks to seconds
  • Implemented data reuse across teams for relevant business insights
  • Greatly reduced costs
rbc-featured

As Canada’s biggest bank, and one of the largest in the world based on market capitalization, RBC has a diversified business model with a focus on innovation and providing exceptional experiences to their 16 million clients in Canada, the U.S. and 35 other countries. To continue the bank’s mission of providing world-class products and services to its clients, RBC’s Data and Analytics (DNA) and Enterprise Cloud teams joined forces to build a real-time, scalable and event-driven data architecture for the bank’s growing number of cloud, machine learning and AI initiatives.

To deliver the event-based architecture for RBC’s business lines, the DNA and Cloud team selected Confluent Platform and Apache Kafka® to be the foundation of their scalable, real-time streaming data architecture. RBC now has a cross-functional team helping transform the bank to a technology and data-driven organization.

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