Improve AI models with better quality data
Observe your data pipelines and catch data problems before they impact your models
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TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE
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Find and Fix Data Quality Issues
Detect Data Anomalies:
Automatically alert on anomalies in your data, such as unexpected schema changes or irregular data patterns.
Immediate Root Cause Analysis:
Detailed insights into the source of data quality problems, enabling rapid and effective troubleshooting.
Ensure Model Reliability
Flag Data Drift:
Correlate data drifts in inputs to model performance, stop bad input data before it affects the model.
Dependency Changes:
Highlight changes in dependent external data sources, meta data and other inputs - from landing zone to consumption.
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Monitor Data Pipelines & Apache Kafka Streams
Pipeline Monitoring:
Continuously monitor complex data pipelines for failures or performance bottlenecks, allowing for immediate response to issues.
Kafka Stream Health:
Monitor Kafka stream health, throughput, and performance, identifying bottlenecks or disruptions in real-time data processing.
Consumer Lag Analysis:
Track and analyze consumer lag to ensure efficient data flow, prevent processing delays to maintain real-time analytics accuracy.
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Track Data Lineage and Audits for Compliance
Data Lineage:
Offers clear visibility into data lineage, ensuring that all data usage complies with your legal and ethical standards.
Audit Trails:
Maintain comprehensive logs and audit trails, essential for compliance with data governance and regulatory standards.
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Essential Data Observability for LLM Success.
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