Case Study: Viseca achieves 10x faster time-to-market for streaming apps with Lenses

How Viseca built a Streaming Data Platform to enable real-time customer interactions

Viseca, a leading Swiss cashless payment provider with over two million customers, needed to turn siloed data into real‑time, personalized customer experiences while meeting strict governance and compliance requirements. To move from batch to event-driven operations and integrate 15+ systems (CRM, mobile app, email, direct mail, etc.), Viseca partnered with Lenses, using the Lenses.io streaming data platform together with Apache Kafka, Flink and Hadoop to design a governed, enterprise-grade Streaming Data Platform.

Lenses helped Viseca build and operate the SDP in under a year, providing SQL-based stream processing, schema and access controls, monitoring and data lineage so business and IT teams could adopt DataOps practices quickly. The results: production in one year, 10x faster time‑to‑market for streaming apps, 600k targeted marketing communications, <1s data latency, 20x faster data synchronization between apps and minutes to build and deploy simple stream processors — all while maintaining enterprise security and governance with Lenses.

Viseca

Vladimiro Borsi

Enterprise IT Architect