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Monitor the data products your business runs on

Bigeye automatically identifies every column powering your critical data products and deploys targeted pipeline monitoring and deep data quality monitoring to ensure they stay reliable by default.

data monitoring
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Bigeye lets us surface the health of critical Power BI dashboards to data consumers who use them to make critical decisions daily in the field.

ash smith

Ash Smith

Manager, Data Platform
Stage 1
Dependency mapping

Map every column powering your data products

Automated dependency mapping gives you a complete view of every field powering your analytics dashboards and data products—even as they cross modern cloud and legacy on-prem data sources.

Map upstream columns your data products rely on
View the entire pipeline in single lineage graph
See your current monitoring coverage and gaps
Stage 2
Autometrics

Deploy monitoring on all upstream dependencies

Use Autometrics to deploy recommended monitoring on only the upstream columns powering your data products for optimized coverage.

Freshness, volume, and schema monitoring
70+ pre-built, dimension-based data quality checks
Automated deployment in a few simple steps
Stage 3
Complete customization

Adapt monitoring for custom business needs

Advanced monitoring features allow data teams to customize Bigeye to meet business needs and still take advantage of AI-driven anomaly detection.

Multi-column checks
Business performance metrics
Referential key integrity
Monitoring as code
Stage 4
Analytics dashboard integration

Give business users confidence in their data

Empower data consumers with real-time insights about the reliability of the data powering their analytics, delivered right in their browser window.

Simple, easy-to-use browser extension
Data health overview and status alerts
Data quality monitoring details
bigeye tableau browser extension

Start your data observability journey

Get a demo