Data Issues Happen. Being Caught Off Guard Doesn’t Have To.

Problem: Constant interruptions caused by data pipeline failures.

Solution: Bigeye helps automate data quality and pipeline reliability via AI-driven anomaly detection that immediately alerts you when something’s off.

Problem: Pressure to get to the root of problems quickly.

Solution: Automated, lineage driven root cause analysis pinpoints the exact issue, reducing downtime and getting you back on track faster.

Problem: Stakeholders spot issues before you do.

Solution: Bigeye's Autometrics automatically detect anomalies at the column level, allowing you to catch potential issues early.

Problem: Overwhelmed by requests and questions from stakeholders.

Solution: Bigeye's Autothresholds automatically generate tailored alerts based on your data's unique patterns, allowing you to focus on the anomalies that truly matter, all with zero manual effort.

Problem: Too many alerts, not enough actionable insights.

Solution: Bigeye’s ML based anomaly detection and model algorithms automatically improve over time helping to significantly reduce the number of false alerts.

Problem: Difficulty prioritizing and understanding potential business impact of alerts.

Solution: Our lineage driven impact analysis helps you focus on any high-priority issues that might be affecting major metrics and dashboards.

Problem: Difficulty maintaining oversight across mixed data environments.

Solution: Bigeye will scale and automate your data quality rules across the widest support of legacy and modern database technologies.

Problem: Integrating multiple systems is a constant headache.

Solution: With a wide array of modern and legacy data connectors, Bigeye connects seamlessly across your entire stack, keeping your data reliable no matter where it lives.