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Financial services organizations of all sizes are transforming their operations and customer experiences with data streaming. See how your peers use the Confluent data streaming platform.
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This book, written by Confluent Field CTO Kai Waehner, showcases real-world success stories that highlight the power of data streaming and event-driven architectures. With a dedicated chapter on financial services, it offers practical insights for unifying operational and analytical data to build real-time, reliable data products that drive industry innovation.
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Read BlogWhat does success look like for the enterprise data technology team at one of the largest U.S. banks? Nisha Paliwal, Managing Vice President of Enterprise Data Technology, shares insights into her world of data streaming innovation for over 100 million customers at Capital One.
Why would a membership-owned fraternal financial services organization need to invest in their data architecture? The answer lies at the heart of their corporate mission—putting their customers first.
We take a deeper look into the role timely data and real-time context plays in risk analytics and fraud mitigation. Learn how Scotiabank uses data streaming to apply this need for speed in their AI/ML and fraud detection processes.
“Confluent has become a lynchpin to harness Apache Kafka for improved operational transparency and timely data-driven decisions. We are delighted with the improvements we have seen in the monitoring of our business flows, speeding up lending approvals, and providing better and more timely fraud analytics."
“We love open source, but at the same time we’re not a startup. We’re a large financial institution that works with world-class organizations, and we need services that make it easier for us to sleep at night. Confluent is very reliable; it’s never down. It has become our backbone.”
“We have been very satisfied with Confluent Platform as the backbone of our persistence engine. The platform has been super reliable. We have stringent requirements for real-time performance and reliability, and we have confirmed – from proof-of-concept to deployment of a cutting-edge production trading platform – that we made the right decision.”
"EVO Banco has been able to reduce its weekly fraud losses by a staggering 99% thanks to the help of Confluent. This is an incredible feat that speaks to the power of data streaming technology.... Imagine the impact this has on customer trust and the bank's reputation."
"Everything we do is in real time because batch processing is an old way of thinking. The longer your data waits, the less value it has. So, as data comes through, you need to be able to act on it, or enrich it quickly. Confluent enables this for us.”
"Data streaming technology has become such an enabler of our use case innovation, driving real-time experiences for our 100 million customers today including real-time personalization, fraud, and cyber. You can think about the volume of the transactions that are going through - streaming billions of transactions daily, monitoring all that and, of course, Confluent sits right in the middle of solving for many of those use cases.”
"Data streaming technology has become such an enabler of our use case innovation, driving real-time experiences for our 100 million customers today including real-time personalization, fraud, and cyber. You can think about the volume of the transactions that are going through - streaming billions of transactions daily, monitoring all that and, of course, Confluent sits right in the middle of solving for many of those use cases."
Whether you need to bring real time to your payments, risk management, or fraud prevention applications; want to extract mainframe data to power new services; or are looking to drive innovative experiences to keep your customers coming back for more, build a next-gen data streaming architecture that works with what you have today and future proofs it for where you want to go next. The use cases are limitless.
How can data streaming technology enable real-time fraud detection at scale? Watch this video to learn how banks are implementing Kafka use cases to reduce risk and save money. You’ll explore how Capital One uses data streaming to detect fraud in real time and make intelligent decisions. The video also covers other ways data streaming powers automated cost-saving and helps enhance customer satisfaction in banking.
Legacy core banking applications are often built for mainframes and, as a result, are inflexible and costly to maintain and improve. Now, banks are moving transaction data to the cloud for greater scalability and flexibility. In this video, learn how data streaming help banks like 10X Banking build elastic, cloud-native infrastructures that cut costs and accelerate innovation.
To stay competitive and innovate faster, banks need to be able to build new, cloud-native applications while maintaining compliance In this video, learn how Raiffeisen Bank International used a data streaming platform to build a scalable, compliant data mesh across multiple countries, integrating systems and enabling real-time data access for tasks like regulatory reporting and core banking platform migration.
Learn how the Royal Bank of Canada used mainframe offloading to drive innovation, reduce costs, and enable a flexible, cloud-migrated architecture. By leveraging a data streaming platform, the bank was able to decouple applications, keep critical data on the mainframe when needed, and eliminate additional mainframe costs while supporting multiple systems.
Looking for innovative ideas or practical insights in data streaming? Or have expertise to share with the community? Then get ready to join us at Current 2025 in New Orleans. The call for papers is open through June 15th, and you can sign up now to be the first to know when registration opens.
Streaming processing is essential for powering the real-time applications that are transforming retail and e-commerce. Join this webinar to learn how the latest release of Confluent Platform brings stream processing to on-prem and private clouds.