What do you like best about the product?

Monte Carlo's data obsevibility, especially the freshness and volume monitors, as these are our early warning systems for data issues. Combined with these are the anomoly detection and automated alerts which makes this an awesome data quality tool.

What do you dislike about the product?

No built-in functionality for automated promotion of monitors between different environments.

What problems is the product solving and how is that benefiting you?

In lower environments early indications on volume and freshness, as well as data anomolies help resolve data issues during develop phases. These benefit the organization as it assists in detecting issues in data early in the development life cycle. In the production environment volume, freshness as well as the validation monitors assist in detecting any data quality issues, with the automated alerts. This allows for early detection of data issues before business becomes aware of it, making the data quality management an pro-active early warning system, which allows for the data stewards to pro-actively react to such issues.