anomalo.com
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17K
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Rating
5.0/5
Core features
- ✦Anomaly Detection
- ✦Data Validation
- ✦Data Governance
- ✦Data Observability
- ✦Automated Data Lineage Tools
Use cases
- →Continuously monitor enterprise data quality without writing code.
- →Detect and resolve data quality issues before they impact operations.
- →Ensure data integrity, compliance, and security.
How to use
Connect data sources to Anomalo, enable AI data quality monitoring, add custom validation rules, and receive alerts for data quality issues. The platform provides automated root-cause analysis and data lineage to quickly address problems.
FAQ
What kind of custom data quality monitoring does Anomalo offer?
Anomalo allows you to set user-defined validation rules or track specific business metrics for your key tables from its UI, without needing to write code. You can also write checks in SQL or integrate with the API to migrate existing checks.
What data quality monitoring techniques does Anomalo utilize?
Anomalo uses a mix of data quality monitoring techniques, including metadata-based data observability, AI-based anomaly detection, and user-defined validation rules and key metrics tracking.
Why is data quality monitoring important?
Data quality monitoring is essential to ensure that bad data doesn’t lead to poor business outcomes, broken products, inaccurate dashboards, and unreliable AI models. It is also important for compliance and data governance.
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 KPI tracking, along with AI/machine learning algorithms to understand patterns and set thresholds.
Does Anomalo provide data profiling and analysis?
Yes, Anomalo provides visual data profiling information, such as the distribution of data values in each column, and rich visualizations to understand why data is passing or failing checks.
Does Anomalo provide data lineage tools?
Yes, Anomalo provides data lineage information pulled directly from your data warehouse/lakehouse, including a mapping of how data flows upstream and downstream.
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