Monte Carlo

Monte Carlo was founded to help organizations deliver on the promise of data. Monte Carlo named after the simulation, not the destination They’re committed to making data reliable. They’re committed to making the lives of their customers easier. They’re committed to working with the broader data community to realize the full potential of data.

Case Studies

Showing 50 Monte Carlo Customer Success Stories

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How Abacus Medicine Built a Modern Data and AI Stack with Databricks and Monte Carlo

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Scaling Data Quality for Innovation and Growth Aircall’s Data Observability Journey

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How Assurance Achieves Data Trust at Scale for Financial Services with Data Observability

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How AutoTrader UK Migrated to a Decentralized Data Platform with Monte Carlo

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How Backcountry Increases Data Team Efficiency by 30% with Monte Carlo

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Migrating to Data Mesh at BairesDev with Databricks and Monte Carlo

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How BlaBlaCar Reduced Data Incident Time to Resolution by 100+ Hours Per Quarter with Monte Carlo

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How Blend Scales the Impact of Reliable Data with dbt Cloud and Monte Carlo

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How Checkout.com Achieves Data Reliability at Scale with Monte Carlo

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How Choozle Reduced Data Downtime by 88% with Monte Carlo

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How Clearcover Increased Quality Coverage for ELT by 70 Percent

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How Collaborative Imaging Delivers Healthier Data Products with Monte Carlo

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How Compass is Reinventing Real Estate with Data Reliability in the Cloud

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How Contentsquare Reduced Time to Data Incident Detection by 17 Percent with Monte Carlo

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Credit Karma’s Journey to Reliable Generative AI Models with Data Observability

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How Dr. Squatch Keeps Data Clean & Fresh with Monte Carlo

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Eureciclo Improves Data Governance And Reliability With Unity Catalog and Monte Carlo

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How Fox Digital Architected its Modern Data Stack

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Freshly’s Journey to Building Their 5-Layer Data Platform Architecture

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How the GitLab Data Team Builds a Culture of Radical Transparency

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How Hotjar Reduced Data Infrastructure Costs by 3x with Monte Carlo

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How JetBlue Used Data Observability To Help Improve Internal “Data NPS” By 16 Points Year Over Year

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How Kargo Prevents Six-Figure Data Quality Issues With Monte Carlo

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Kolibri Games’ 5-Year Journey to Building a Data Mesh

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How Mercari Operationalizes Data Reliability Engineering at Scale

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How Mindbody Achieves End-to-End Data Trust with Monte Carlo

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How Optoro Builds Data Trust – and Ownership – at Scale with Monte Carlo

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How PagerDuty Applies DevOps Best Practices to Achieve More Reliable Data at Scale

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How PayJoy Drives Data Trust with Monte Carlo

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How PepsiCo Achieved Data Quality at Scale with Monte Carlo

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How Pie Insurance Created a Self-Serve Incident Triaging & Resolution Workflow with Monte Carlo and Slack

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Data Vault Architecture, Data Quality Challenges, And How To Solve Them

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How Prefect Saved 20 Hours Per Week with Data Observability

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Red Ventures - Customer Case Study

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How Resident Reduced Data Issues by 90% with Monte Carlo

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Using DataOps To Build Data Products and Data Mesh

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How Seasoned Optimized the Data Incident Management Process to Improve Data Quality at Scale

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How SeatGeek Reduced Data Incidents to Zero with Data Observability

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How Sub-Zero Group Put Data Quality Issues On Ice

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How Swimply Built Its Hyper Growth Data Stack with Snowflake, Fivetran, and Monte Carlo

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How Tenable Built a Reliable Data Platform at Terabyte Scale with Monte Carlo

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How Tenable Executes DataOps with Monte Carlo and Snowflake

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How The Farmer’s Dog Achieves Self-Serve Data Observability with Monte Carlo

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How to Choose the Right Structure for Your Data Team

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5 Non-Obvious Things to Consider When Building Your Data Platform

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How TOCA Football Achieved Their Data Quality GOOOOOOAL

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How Monte Carlo and Snowflake Gave Vimeo a “Get Out Of Jail Free” Card For Data Fire Drills

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How Vox Media Scales Data Reliability with Monte Carlo

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Enabling a Self-Serve Data Culture at Whatnot with Data Observability

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How Yotpo Fixes Data Quality at Scale with Monte Carlo

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