Anomalo announced a partnership with Snowflake, the Data Cloud company, to help customers trust the data they use to make decisions and build products. The combination provides customers with a way to monitor the quality of the data in any table in Snowflake's platform without writing code, configuring rules, or setting thresholds. Anomalo thus addresses the data quality problem by monitoring enterprise data and automatically detecting and root-causing data issues, allowing teams to resolve any hiccups with their data before making decisions, running operations or powering models.

Anomalo leverages machine learning to rapidly assess a wide range of data sets with minimal human input. If desired, enterprises can fine-tune Anomalo's monitoring through the low-code configuration of metrics and validation rules. This is in contrast to legacy approaches to monitoring data quality that require extensive work writing data validation rules or setting limits and thresholds.

As a result, Snowflake customers can now begin monitoring the quality of their data with Anomalo in under five minutes. They simply connect Anomalo's data quality platform to their Snowflake account and select the tables they wish to monitor. No further configuration or code is required.