Anomaly Detection in Business Intelligence Smart Metrics

The goal of this project was to develop an anomaly detection pipeline for business intelligence systems in order to trigger a BI report distribution - via slack or e-mail - when an anomalous situation was detected or send an alert to predefined groups of managers. The system was designed to collect data online from various BI reporting systems (e.g., Tableau ). The data was later modelled as time series and stored in InfluxDB, following data was send to a stream processing engine called Kapacitor.