Building a KPI Alert System with Matrix Profiling and MACD at Tubi
An in‑depth case study describes how Tubi’s data‑science team built a flexible KPI alert system that tackles seasonal trends and diverse metric scales by applying seasonal decomposition, Matrix Profiling via the Stumpy library for anomaly detection, and MACD for trend analysis, achieving higher true‑positive rates while reducing false alarms.