Data Health Analysis

Macro view into data health and cloud cost

Visually track and analyze key data quality metrics with at-a-glance dashboards that keep a pulse on the health of data across the pipeline.

Actian Data Health Consistency

Visualize and optimize your data

Trust your data with complete visibility

  • Get full visibility into your data layers, regardless of data type, form, frequency, or volume.
  • Perform in-depth analysis down to the column level without sampling.
  • Compare current data with historical averages to identify trends and enhance data quality.
Actian Data Health Analysis

Profile and track data as it moves

  • Instant insights into information like schema, record counts, uniqueness, and missing data.
  • Column-level insights into patterns, data types, and distributions.
  • Interactive visualization and comparison with historical insights.
Actian Data Health Analysis

An easy way to explore complex data

  • Actian Data Observability’s investigator provides an easy-to-use, no-code interface to explore and analyze data.
  • Quickly spot and triage data quality anomalies using integrated resolution workflows, significantly reducing troubleshooting efforts.
  • Perform root cause analyses without any coding to understand how changes to data sources, schemas, or transformations impact downstream processes.
Actian Data Health Analysis
Actian Data Quality Advanced Features

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

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Open architecture

No-code connection to data lake and lakehouse –natively supports raw formats like Iceberg, Hudi, and Delta.

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Data quality

Validate every value before ingesting into AI-model, automate and orchestrate DQ workflows in AI-workloads.

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Anomaly detection

No sampling, ML-driven anomaly detection on column values and business metrics.

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Data layer consistency

Improve quality across bronze, silver, and gold layers embedded design patterns to stop bad data at bronze.

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Data layer health

No code analysis and reporting of your data lake and lake house.

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Incident management

Alerting, ticketing, investigation and remediation workflows.