Business Case
The computer networking client, active in 150+ markets, logs clicks, alerts, and pings in clashing formats. The mismatch blocked campaign-to-sale links, stalled support updates, and left churn models outdated.
- Data volume Tens of millions of raw JSON events a day, little structure
- Speed to market New releases needed fresh event tags; dev cycles slowed
- Customer Insight Sparse retention models; no single view across apps, routers, and cloud services
- Inventory management Separate pipelines for each project drove compute and license fees up
Our Solution
Inferenz unified all event data, applied a common rule engine, and delivered real-time predictive insight.
- Tool & stack review assessed current collectors, queues, and stores for scale and cost.
- Rule Engine low-code rules let analysts add or change event logic in hours, not sprints.
- Real-time Dashboards Kafka → Snowflake → Tableau gave product, support, and marketing teams one live view.
- Common Event Framework defined one schema for campaign, app, device, and support events; enforced with JSON schema and measured campaign success
- Predictive Models gradient-boosted trees flagged churn risk days earlier; scores streamed back to CRM and push-notification systems.