+ As an administrator it was really easy to setup Anomalo on our existing infra and get it up and working quickly. This means that we could start finding value really quickly. We set Anomalo up with our k8s infra and it was fairly easy + Anomalo conistently finds small issues in our datasets and helps us identify the cause even before vendors detect them. We've pushed issues upstream multiple times when the data producer isn't aware of the issue yet + In the past, we've explored many different solutions for this problem and Anomalo has worked much better than all of our home grown solutions in terms of adoption as well as value-added + Anomalo UI is extremely easy and awesome to use. This makes it much easier for data analysts and non technical teammates to onboard and add custom checks vs creating a code change. + Anomalo's team has been incredibly responsive and helpful

Anomalo is a great tool for monitoring general data quality. Beyond the default metrics, like data freshness and availability, it's excellent to be able to configure custom verifications. To highlight some awesome features, the anomaly history is very useful for understanding the main variations in column statistics. In the custom possibilities, being able to configure alerts using multiple columns, multiple tables or SQL brings several monitoring configurations.

Slack alerts visualization Built in checks