Anomaly Detection

Reduce unknown risks

Eliminate the stress of “unknown unknowns.” Secoda’s anomaly detection ensures no issue goes unnoticed, helping your team maintain control and improve data reliability.

Customize monitors for data patterns

Secoda allows teams to set custom monitors on metrics like data freshness, uniqueness, and volume. If data deviates from expected patterns, Secoda generates alerts so that teams can investigate quickly.

Set alerts for data anomalies

Through integration with various data tools, Secoda provides real-time anomaly alerts directly to team members via Slack, Teams, email, or within the app. This proactive alerting ensures that unusual trends, such as cost spikes or unexpected data drops, are immediately flagged for review.

Analyze trends for deeper insights

Secoda enables teams to visualize historical data trends, helping them establish a baseline for “normal” behavior. With this historical context, anomaly detection becomes more accurate, as teams can compare current data points with past patterns to identify true anomalies.

“Secoda’s ability to track dashboard usage and query frequency saved us time during migration. We only migrated 125 dashboards, realizing the rest weren’t needed.”

Adam Barber

Data at Vanta

Discover deeper insights through contextual data

Secoda provides detailed metadata and lineage information, so when an anomaly is detected, teams have the necessary context to assess root causes quickly. For example, they can see if a schema change, new data source, or job failure triggered the anomaly.

Reduce data downtime and save your team time

By identifying anomalies proactively, Secoda reduces the time spent troubleshooting unexpected data errors. This proactive approach minimizes disruptions in data workflows and helps maintain high data quality standards, saving both time and resources for data teams.