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Online Talk

How Data Streaming Elevates the Omnichannel Customer Experience

Visionner

A conversation with Thrivent and Improving

Available On-demand

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 customer first.

Thrivent knew it needed an agile platform that would put its data close to all customer touchpoints for a frictionless omnichannel experience. To realize this vision, the firm needed to decouple data from its core systems to provide faster access to data consumers within the company. And so began the journey with Confluent and our systems integration partner Improving.

In this webinar, you’ll get a close look at:

  • Real-time data ingestion and processes underpinning Thrivent’s proprietary customer experience platform
  • Realities and challenges of building a next-gen data streaming architecture
  • Best practices to build reusable APIs for future state

Register Now!

Experienced digital transformation specialist dedicated to leveraging technology for customer-centric value delivery. Proficient in creating and enhancing integration products like APIs, data streaming, and bulk load assets, as well as shaping robust data foundations for analytics and MDM. Recognized thought leader in crafting pragmatic organizational transformation strategies. Proven track record of delivering exceptional products across diverse tech domains and industries, earning a reputation for execution excellence and mentorship. A passionate engineering professional holding a Bachelor's degree in Computer Science and a Master's degree in Software Engineering.

Matt Schroeder is the director of the real-time data group at Improving. Improving is a modern digital services consulting firm and has expertise across the stack, but Matt’s emphasis is on the Confluent partnership and event-driven architecture. Matt guides Improving clients through data transformations and moonlights as an Adjunct Professor, teaching Event Driven Architecture at the University of Minnesota.

Peter considers himself lucky to have worked all over the world in diverse areas of the tech industry over many years. Having primarily spent the first half of his career working on batch-based, finance-related systems, he became an advocate of event streaming architectures in the early 2010s.

With the convergence of data streaming, automation, and artificial intelligence on the cusp of this fourth industrial revolution, Peter firmly believes there has never been a more exciting time to be helping customers maximize the value they can obtain from processing their data in motion.

Ressources supplémentaires

cc demo

Confluent Cloud Demo

Join us for a live demo of Confluent Cloud, the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka
kafka microservices

Kafka Microservices

In this online talk series, learn key concepts, use cases and best practices to harness the power of real-time streams for microservices architectures
Image-Event-Driven Microservices-01

e-book: Microservices Customer Stories

See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices