Achieve data integrity
Make sure that third-party data is tagged and classified appropriately.
Finance Vertical Webpage
Monte Carlo for Financial Services
Make your data quality as stringent as your industry regulations.
Leading data teams in financial services choose Monte Carlo
Learn how Clearcover, an automotive insurance leader, increased data quality coverage by 70 percent with Monte Carlo.
Benefits
70%
increase in data quality coverage
50%
faster 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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Rising data volumes stemming from business applications and departments
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Lack of domain knowledge into department-specific data sources
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Complexity associated with their growing data stack implementations
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Reduced implementation times with out of the box coverage for new datasets
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Automated data lineage creation to isolate and remediate incidents
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Custom field health thresholds to meet internal SLAs
Benefits
70%
increase in data quality coverage
50%
faster resolution times
-
Rising data volumes stemming from business applications and departments
-
Lack of domain knowledge into department-specific data sources
-
Complexity associated with their growing data stack implementations
-
Reduced implementation times with out of the box coverage for new datasets
-
Automated data lineage creation to isolate and remediate incidents
-
Custom field health thresholds to meet internal SLAs
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.”
Use cases for financial technologies
Scale proactive incident resolution
When it comes to your customers’ finances, one inaccurate field can have detrimental effects. Invest in a data quality solution that alerts you before incidents occur.
Increase customer engagement
Leverage application data to improve the user experience at each stage of the customer journey.
Monte Carlo is a very good way for us to understand our data quality at scale.
Use cases for financial services & insurance
Make accurate decisions
Ensure your consumers are ingesting reliable data to drive financial decision making.
Remove the risk from risk management
You have models to understand where risks are in your portfolio, but you need to know where risks exist in your data, too.
Maintain SOX and more
Ensure your service is industry-compliant with accurate data to avoid costly fines and reputational damage.
Now, we can start having those proactive conversations to prevent downtime before stakeholders are affected, versus finding out after the fact that something was broken and then rushing to get it fixed.
Learn more about our product
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.
