Achieve stakeholder trust
Be the first to know when data breaks so you can fix before your downstream consumers are affected.
Scale data trust with your fast-growing business via automated, end-to-end data observability.
Learn how Clearcover, an automotive insurance leader, increased data quality coverage by 70 percent with Monte Carlo.
Benefits
90 percent increase in data quality coverage
Faster incident resolution times
“We no longer had to tailor specific tests to every particular data asset. All we really had to do was sign up, add the security implementation to give Monte Carlo the access that it needed, and we were able to start getting alerted on issues. Monte Carlo gave us that right out of the box.”
Inability to scale data quality testing
Wasted hours to days spent debugging data pipeline
Lack of visibility into new data stack
Out-of-the-box data monitoring and lineage – no implementation required
90 percent reduction in time to detection and resolution for data issues
Data reliability that can grow with your business
Benefits
90 percent increase in data quality coverage
Faster incident resolution times
Inability to scale data quality testing
Wasted hours to days spent debugging data pipeline
Lack of visibility into new data stack
Out-of-the-box data monitoring and lineage – no implementation required
90 percent reduction in time to detection and resolution for data issues
Data reliability that can grow with your business
“We no longer had to tailor specific tests to every particular data asset. All we really had to do was sign up, add the security implementation to give Monte Carlo the access that it needed, and we were able to start getting alerted on issues. Monte Carlo gave us that right out of the box.”
Be the first to know when data breaks so you can fix before your downstream consumers are affected.
Build and release customer-facing products knowing that the data powering these services is fresh, accurate, and trustworthy.
Reduce the amount of time and resources you spend firefighting data quality issues with automated, end-to-end coverage across your stack.
Monte Carlo is a very good way for us to understand our data quality at scale.
Monte Carlo had such a tight integration with Snowflake that it just auto-discovers every possible issue with our data. The setup was crazy easy for the coverage we got. I didn’t see any competitors that could serve our needs like Monte Carlo does.
Monte Carlo has been exceptional at catching upstream errors. And being able to tell you that something is amiss and guide your focus with such precision! Pointing not only to the specific table but the lineage that quickly gets you to the root of the error – it’s just absolutely incredible.
Out-of-the-box coverage across all your data tables, opt-in monitors for key assets, and monitors-as-code.
Don’t just sound the alarm when data incidents occur. Empower your data teams to resolve incidents in minutes, not days.
Rich insights enable your team to proactively ensure data quality, and make better infrastructure investment decisions.