What the Client Was Facing
A B2B SaaS company needed to provide real-time usage analytics to enterprise customers — currently delivered 24 hours late via email CSV exports. Customers were requesting the feature, competitors had it and the sales team was losing deals over it.
What ZippyOPS Was Engaged To Do
ZippyOPS was brought in to design and implement a solution addressing the root causes of the client's challenges — delivering measurable outcomes within a fixed engagement timeline. Our team worked embedded with the client's engineers throughout the entire project.
How We Solved It
ZippyOPS built a real-time event streaming pipeline using Kafka for event ingestion, Flink for stream processing and BigQuery for analytical storage. A customer-facing dashboard was built using Looker Studio embedded in the SaaS product with tenant-level data isolation via row-level security.
Technologies Used
Measurable Outcomes Delivered
Real-time analytics feature launched — data freshness reduced from 24 hours to 90 seconds
3 enterprise deals closed directly attributing the new analytics feature as the deciding factor
Customer dashboard handling 50M events/day across 200 enterprise tenants
£2.4M additional ARR attributed to the real-time analytics capability within 6 months
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