Elevating Kafka: Driving operational excellence with Albertsons + Forrester | Watch Webinar

Streaming Data Empowers RBC to be Data Driven

Confluent Platform과 경쟁할 수 있는 제품은 없습니다. 데이터를 이벤트로 스트리밍하면 규모에 맞게 문제를 해결하는 완전히 새로운 방법을 실현할 수 있습니다.

Mike Krolnick | 엔터프라이즈 클라우드 부문 엔지니어링 수석
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.

더 많은 고객 사례

Recursion

Recursion은 Confluent Cloud 기반의 새로운 데이터 파이프라인을 통해 신약 개발을 가속화합니다.

Ricardo Logo

스위스에서 가장 큰 온라인 마켓플레이스인 Ricardo는 대규모 IT 이니셔티브를 처리하고 제시간에 완료하는 데 익숙합니다.

riskfocus

Risk Focus는 상위 20개 글로벌 은행에서 주문 관리 플랫폼을 제공합니다.