SAS Delivers Personalized Marketing at Scale with Confluent

SAS, a leader in marketing analytics, empowers over 80,000 businesses across 150 countries to enhance customer experiences. Their vision revolves around transforming data into actionable intelligence, enabling timely decisions. To realize this vision, SAS relies on a robust and scalable data streaming foundation. Their SAS® Customer Intelligence 360 solution delivers omnichannel marketing, leveraging customer intelligence to create targeted and personalized campaigns. Serving diverse industries, SAS requires a reliable and scalable real-time data handling system.

SAS faced scalability challenges with their self-supported open-source Kafka implementation, hindering their ability to adapt to fluctuating demands. Operational overhead and complexity led to significant costs, and migrating data to Kubernetes posed a major obstacle. By upgrading to Confluent for Kubernetes, SAS solved these scalability issues, improved performance, and lowered the total cost of ownership (TCO). Cluster Linking further streamlined the migration, unlocking greater agility.

With Confluent, SAS achieved the ability to elastically scale on demand while maintaining optimal performance. They significantly reduced TCO and ensured reliable uptime and compliance. The easy migration to Confluent for Kubernetes, facilitated by Cluster Linking, further enhanced their operational efficiency. Justin Dempsey, Senior Manager, SAS Cloud, noted a projected yearly cost reduction of 69% and a substantial decrease in management oversight.

Value Results:

• Scalability on Demand: SAS can now handle fluctuating data loads without performance degradation, ensuring campaigns scale reliably in real-time.

• Reduced TCO: Confluent has led to significant cost savings by optimizing resource allocation and reducing the need for extensive manual processes.

• Improved Customer Experience: Real-time data streaming enables SAS to deliver more targeted, personalized, and immediate marketing, enhancing customer engagement.

• Streamlined Migration: Cluster Linking facilitated a seamless migration to Confluent for Kubernetes, minimizing downtime and business disruption.