Anomalo – Data Quality Monitoring Platform

Anomalo: AI-Powered Data Quality Monitoring & Detection

Anomalo\’s Data Quality Monitoring uses automated AI to detect data quality issues and understand their root causes, before anyone else.

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What is Anomalo - Data Quality Monitoring Platform?

Anomalo's Data Quality Monitoring uses automated AI to detect data quality issues and understand their root causes, before anyone else.

How to use Anomalo - Data Quality Monitoring Platform?

1. Connect your data sources 2. Turn on AI data quality monitoring 3. Add validation rules and KPIs 4. Detect, alert, and resolve

Anomalo - Data Quality Monitoring Platform's Core Features

Automated data quality monitoring

Unsupervised machine learning

Root cause analysis

Data lineage

Data validation rules

Anomalo - Data Quality Monitoring Platform's Use Cases

Detect data quality issues

Resolve data quality issues

FAQ from Anomalo - Data Quality Monitoring Platform

What is Anomalo - Data Quality Monitoring Platform?

Anomalo's Data Quality Monitoring uses automated AI to detect data quality issues and understand their root causes, before anyone else.

How to use Anomalo - Data Quality Monitoring Platform?

1. Connect your data sourcesn2. Turn on AI data quality monitoringn3. Add validation rules and KPIsn4. Detect, alert, and resolve

What kind of custom data quality monitoring does Anomalo offer?

Anomalo offers user-defined validation rules and the ability to track specific business metrics for key tables.

What data quality monitoring techniques does Anomalo utilize?

Anomalo uses a mix of data observability monitoring, automated data quality checks, and user-defined validation rules.

Why is data quality monitoring important?

Data quality monitoring is important to prevent poor business outcomes and ensure compliance and data governance.

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