Achieve stakeholder trust
Be the first to know when data breaks so you can fix before your downstream consumers are affected.
Data Quality for Startups
Data Quality for Startups
Scale data trust with your fast-growing business via automated, end-to-end data observability.
Data teams choose Monte Carlo
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.”
Data Stack
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Inability to scale data quality testing
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Wasted hours to days spent debugging data pipeline
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Lack of visibility into new data stack
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Out-of-the-box data monitoring and lineage – no implementation required
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90 percent reduction in time to detection and resolution for data issues
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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
Data Stack
“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.”
Say good bye to broken dashboards
Launch more reliable products
Build and release customer-facing products knowing that the data powering these services is fresh, accurate, and trustworthy.
Save time and resources
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.
Learn more about how Monte Carlo helps startups trust their data
Detect
Out-of-the-box coverage across all your data tables, opt-in monitors for key assets, and monitors-as-code.
Resolve
Don’t just sound the alarm when data incidents occur. Empower your data teams to resolve incidents in minutes, not days.
Prevent
Rich insights enable your team to proactively ensure data quality, and make better infrastructure investment decisions.
