AI Directory : AI Analytics Assistant
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
Anomalo - Data Quality Monitoring Platform Support Email & Customer service contact & Refund contact etc.
More Contact, visit the contact us page(https://www.anomalo.com/contact-us/)
Anomalo - Data Quality Monitoring Platform Company
Anomalo - Data Quality Monitoring Platform Company name: Anomalo .
More about Anomalo - Data Quality Monitoring Platform, Please visit the about us page(https://www.anomalo.com/about/).
Anomalo - Data Quality Monitoring Platform Facebook
Anomalo - Data Quality Monitoring Platform Facebook Link: https://www.facebook.com/anomalo.hq/
Anomalo - Data Quality Monitoring Platform Linkedin
Anomalo - Data Quality Monitoring Platform Linkedin Link: https://www.linkedin.com/company/anomalo/
Anomalo - Data Quality Monitoring Platform Twitter
Anomalo - Data Quality Monitoring Platform Twitter Link: https://twitter.com/anomalo_hq
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.