One of the finest tools for DQ checks...

I use Monte Carlo as a primary data observability tool at Lyst, and I really appreciate its ability to give us a heads up when something looks strange with our data. I think our bread and butter is the out-of-the-box table monitors, which makes it super easy to monitor the general health of all our tables with very little setup. I also like the custom SQL monitors that allow us to set up specific rules about what we want to monitor, enabling us to check the relationships between tables and specific actions users are taking. It definitely saves time, and it is essential for our team and the wider business to have confidence in the quality of the data they are using to make business decisions. I also like that we can get sent Monte Carlo metadata and monitor how well the team and wider business are responding to and actioning alerts.

The out-of-the-box monitors based on ML and the very good UX.