Flag KPI anomalies for owners

Data teams have to manually monitor business KPI reports for sudden spikes or drops, often checking multiple times per day. This makes anomaly detection slow and inconsistent, increasing the risk that critical metric changes are noticed too late to prevent business issues.

Every few minutes the automation pulls the latest KPI metrics, compares them against defined baselines to detect spikes or drops (anomalies), and when an anomaly is found it sends alerts to the relevant KPI owner via team communication channels and email, enabling the data team to proactively notify stakeholders.

Automated anomaly detection helps teams react to critical KPI changes sooner, reducing the likelihood that spikes or drops turn into larger business problems.