Automatically detect anomalies within the data lake
Find and exclude anomalous data from AI workloads, take action before it affects business.
Detect anomalies for trusted data
Spot anomalies before they impact your business
Monitor your data anomalies automatically without any setup using machine learning. No sampling, ML-based data anomaly monitoring without any setup.
- Column value level anomaly detection for things like value outliers, out-of-range values, and unexpected values.
- Self-evolving thresholds based on ML models that understand your data, including seasonality.
- Improved time-to-value as the model gets trained on historical data.
Faster insights using predefined metrics
Actian Data Observability employs machine learning and statistical analysis to automatically generate thresholds for both custom and predefined data health metrics.
- Metrics include schema drifts, data completeness, pattern drifts, and dozens more.
- Actian Data Observability’s DQ metrics can be fully customized based on your team’s expectations.
Monitor the metrics that matter to your business
Actian Data Observability enables you to define business metrics that you want to track within a dataset.
- You can apply various aggregation functions (sum, avg, min, max) to numeric data, tailoring the analysis to your specific needs.
- Group your data by one or multiple dimensions to gain granular insights. Each dimension operates independently, ensuring comprehensive data analysis.
Spot drifts the moment they occur
Actian Data Observability’s automated and manual thresholds ensure that data remains consistent, accurate, and compliant.
- Using machine learning and statistical analysis, Actian Data Observability automatically builds thresholds for all custom and pre-defined metrics. These are advanced thresholds calculated using ML and statistical analysis of existing and historical data.
- Automated thresholds allow you to take action on inconsistencies, like excluding suspicious data from AI inputs.
Connect. Analyze. Alert. Advise.
Connect Datasources
Connect your datasource, or send data via REST, or load a local file.
Analyze Data Health
Quickly identify and pinpoint data anomalies, errors, or inconsistencies.
Alert
Actian will learn your data and its trends and automatically alert on unexpected drifts.
Recommendations
Actian will finally advice you on next best actions for your data sets.
Discover the complete platform
Open architecture
No-code connection to data lake and lakehouse –natively supports raw formats like Iceberg, Hudi, and Delta.
Data quality
Validate every value before ingesting into AI-model, automate and orchestrate DQ workflows in AI-workloads.
Anomaly detection
No sampling, ML-driven anomaly detection on column values and business metrics.
Data layer consistency
Improve quality across bronze, silver, and gold layers embedded design patterns to stop bad data at bronze.
Data layer health
No code analysis and reporting of your data lake and lake house.
Incident management
Alerting, ticketing, investigation and remediation workflows.
