helped us find the bug in our code that has improved product

Ein skalierbarer Weg, die Datenqualität zu testen. Es lernt, wie man Ihre Daten effizient testet. Es ist auch das perfekte Werkzeug, um die Verantwortung für die Datenqualität an die Geschäftsteams zu übertragen.

1) Ease of set-up - Out-of-the-box monitors for freshness, volume, and schema start training as soon as the MC service principal has access to the tables. 2) Effective Visuals – Results and Incident are visually appealing, but most importantly they present the data in a way that can be easily consumed. The percent increase or decrease for a metric is presented over days or weeks aside the row counts to give context. 3) Seamless Slack integration – It is quick to set-up MC monitor notifications via Slack channels. Responses written in Slack are saved to Monte Carlo, saving time and effort. 4) Low noise - MC keeps the noise level down. False-positive issues are not as common as found in other tools. 5) Customer support - MC hands-down has the best customer support. Their team feels part of our own. They have learned the nuances of our data. They respond quickly to all questions and concerns. Suggestions that we have made about the tool have been implemented (quickly). They are constantly evolving the tool to make it even better.