Learn data quality monitoring
Guides, definitions, and answers on data quality monitoring — what it is, the main types of checks, how AI-generated monitoring works, and how to do it without exposing raw data to a vendor.
Guide
What is data quality monitoring?
A complete introduction: why it matters, the main types of checks, the different architectural approaches, and how AIMO does it.
Reference
Glossary
Concise definitions of the core terms — data quality, data observability, anomaly detection, schema drift, data contracts, and more.
Answers
FAQ
Practical answers on monitoring without exposing raw data, AI-generated checks, supported databases, security and GDPR, and pricing.
Looking for the product? See AIMO data quality monitoring and the technical documentation.