Trendyol built Helyx, an internal data observability platform that uses ensemble-based anomaly detection to catch silent clickstream data degradations. The system employs five statistical models (AutoARIMA, MSTL, DynamicOptimizedTheta, AutoETS, AutoTheta) with a strict voting mechanism requiring 4-of-5 agreement before flagging anomalies. It monitors click counts, PID-SID behavior, and null percentages across platforms and cultures, routing alerts to specific team owners via Slack with embedded visualizations. The approach shifted anomaly discovery from monthly manual reviews to real-time detection, addressing issues like event duplication, broken instrumentation, and parameter nullification that quietly distort product metrics and business decisions.

8m read timeFrom medium.com
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When Clickstream Data Breaks QuietlyWhy This Quiet Failure Impacts Business DecisionsFrom Manual Checks to a Trustworthy Detection SystemKey Use Cases

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