Avoid costly research errors
Avoid wasting time, money, and resources on research fueled by inaccurate data.
Healthcare Vertical Webpage
Monte Carlo for Healthcare & Life Sciences
Improve your data quality for better operational analytics and patient experiences.
Leading data teams in healthcare choose Monte Carlo
Learn how Collaborative Imaging, a healthcare revenue cycle management technology company, scaled their data team impact with Monte Carlo
Benefits
High data integrity for customer-facing insights
Avoid regulatory fines associated with incorrect patient practice data
“Dirty data is a landmark of healthcare analytics, and a lot of the work we do revolves around cleaning and making sense of this data to put it into one repository. Combined with Snowflake’s powerful Data Cloud and Monte Carlo’s Data Observability Platform, we can resolve these problems before they reach the business. My executives are happy and I can trust our data.”
Data Stack
-
Strict industry compliance regulations for accuracy of data used in reporting could lead to a potential compliance breach.
-
Varied data sources ranging from 3rd party files and applications, combined with a large data stack, leads to difficulty in seeing what’s happening.
-
Visibility into customer-facing data quality issues may lead to a poor customer experience
-
Integration with Snowflake and Tableau to understand issues, including impacted dashboards
-
Automated monitoring to scale across their large data volumes, including future tables
-
Custom data quality thresholds for specialized testing and data load processes
Benefits
High data integrity for customer-facing insights
Avoid regulatory fines associated with incorrect patient practice data
-
Strict industry compliance regulations for accuracy of data used in reporting could lead to a potential compliance breach.
-
Varied data sources ranging from 3rd party files and applications, combined with a large data stack, leads to difficulty in seeing what’s happening.
-
Visibility into customer-facing data quality issues may lead to a poor customer experience
-
Integration with Snowflake and Tableau to understand issues, including impacted dashboards
-
Automated monitoring to scale across their large data volumes, including future tables
-
Custom data quality thresholds for specialized testing and data load processes
Data Stack
“Dirty data is a landmark of healthcare analytics, and a lot of the work we do revolves around cleaning and making sense of this data to put it into one repository. Combined with Snowflake’s powerful Data Cloud and Monte Carlo’s Data Observability Platform, we can resolve these problems before they reach the business. My executives are happy and I can trust our data.”
Use cases for life sciences
Discover gaps in your manufacturing processes
Ensure inventory and order fulfillment data is up-to-date and accurate to help stakeholders adjust supplies accordingly and find additional areas of opportunity.
Scale data operations confidently
Ensure data quality coverage can meet growing data volumes and evolving use cases.
Use cases for healthcare providers
Ensure regulatory compliance
Only pass clean, accurate data to your patients to avoid costly fines and protect your image
Reduce patient churn
Prevent unpleasant patient experiences and churn by keeping data up-to-date and available
Realize the promise of cloud investments
Make the most of your cloud data warehouse or lake migration with end-to-end visibility and full data quality coverage
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.
