anomalo logo: Anomalo | Automated AI Data Quality Software

anomalo logo: Anomalo's Data Quality Software uses automated AI to detect data quality issues and understand their root causes, before anyone else. Get started today!

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Anomalo | Automated AI Data Quality Software

Introduction

What is Anomalo?

Anomalo is an automated AI data quality software that provides rapid detection, root cause analysis, and resolution of data quality issues, enabling quick mitigation before impacting your operations.

Features of Anomalo

Anomaly Detection

Easily identify abnormal patterns or deviations in your data.

Data Validation

Verify that your data is always accurate, complete, and consistent.

Data Governance

Ensure data integrity, compliance, and security every step of the way.

Data Observability

Cost-effective monitoring in minutes, no matter the scale of your data.

How to Use Anomalo

  1. Connect your data sources: For easy data integration, pair Anomalo with your enterprise data lake/warehouse in one click. To monitor data in transit, connect Anomalo to data orchestrators and ETL tools.

  2. Turn on AI data quality monitoring: Start detecting potential data quality issues across all your tables automatically. Unsupervised machine learning deeply understands your data, including hidden correlations, expected delivery times, and seasonal changes.

  3. Add validation rules and KPIs: Beyond the built-in checks, it’s easy for everyone to add custom data validation rules and track key metrics with a no-code UI or API.

  4. Detect, alert, and resolve: Quickly address data quality issues with Anomalo’s notifications, automated root-cause analysis, and data lineage.

Helpful Tips

  • Go beyond data observability with robust data quality monitoring you can trust.
  • Effortlessly monitor thousands of tables and billions of records with cost-effective data quality monitoring.
  • Integrate with data catalogs and generate executive reports.

Frequently Asked Questions

What kind of custom data quality monitoring does Anomalo offer?

Anomalo offers user-defined validation rules or track specific business metrics for your key tables.

What data quality monitoring techniques does Anomalo utilize?

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

Why is data quality monitoring important?

Data quality monitoring is essential to ensure that bad data doesn’t lead to poor business outcomes.

How does Anomalo ensure data quality at scale?

Anomalo provides a suite of data quality checks, including data observability checks, automated data quality checks, and user-defined validation rules.

Does Anomalo provide data profiling and analysis?

Yes, Anomalo provides visual data profiling information and rich visualizations to understand why and how your data is passing or failing.

Does Anomalo provide data lineage tools?

Yes, Anomalo provides data lineage information that is pulled directly from your data warehouse/lakehouse.