Case Studies
Featured
How Axios Is Delivering Reliable AI with Agent Observability
How Axios controlled cost and improved alerting while monitoring agent inputs and outputs.
Advancing the Ball on AI: How the New York Jets Are Building Trust Into Every Deployment
Every organization says it’s building AI agents. Almost none are scaling them reliably in production. Barr Moses opened our recent webinar with research bearing that out:
How JetBlue Used Data Observability To Help Improve Internal “Data NPS” By 16 Points Year Over Year
Getting data and people where they need to be at JetBlue by prioritizing data trust.
Technology
How Skyscanner Enabled Data & AI Governance with Monte Carlo
Learn how the team at Skyscanner is harnessing data lineage and data observability with Monte Carlo to enable data governance at scale.
How WHOOP Built and Launched a Reliable GenAI Chatbot
Get a firsthand look into how the data team at WHOOP is leveraging LLMs to deliver reliable insights to stakeholders throughout the organization.
Scaling Data Quality for Innovation and Growth: Aircall’s Data Observability Journey
Learn how the Aircall team uses Monte Carlo’s data observability solution to maintain their focus on self-serve infrastructure without compromising on data quality.
How Backcountry Increases Data Team Efficiency by 30% with Monte Carlo
Learn how Backcountry reduced time to detection and resolution for data quality issues while increasing data team efficiency with Monte Carlo.
How Seasoned Optimized the Data Incident Management Process to Improve Data Quality at Scale
The data team at Seasoned shares its 4 best practices for optimizing the data triage and data incident management process.
How Tenable Executes DataOps with Monte Carlo and Snowflake
We reduced the average throughput of data in our Tenable One application pipeline by 33% within the first 3 months. Here’s how.
How Tenable Built a Reliable Data Platform at Terabyte Scale with Monte Carlo
Learn how cybersecurity leader Tenable built a more scale and reliable data platform with Snowflake and Monte Carlo.
How Contentsquare Reduced Time to Data Incident Detection by 17 Percent with Monte Carlo
Like many hyper growth startups, Contentsquare is all about data. The company leverages AI to provide its users with actionable, data-driven insights about their customers, which empowers teams to improve the experience for users of their websites and digital apps. Founded in Paris a decade ago, Contentsquare today is a fast-growing global company that just …
How the GitLab Data Team Builds a Culture of Radical Transparency
How does GitLab build a culture of radical transparency? It starts – and ends – with reliable data.
How Monte Carlo and Snowflake Gave Vimeo a “Get Out Of Jail Free” Card For Data Fire Drills
See how Snowflake and Monte Carlo helped Vimeo achieve world-class data reliability on a massive scale.
Big Data (Quality), Small Data Team: How Prefect Saved 20 Hours Per Week with Data Observability
Learn how Dylan Hughes and Prefect’s lean data team kept data reliability high and costs low with Monte Carlo.
7 Steps for Building a Successful Data Team at Your Startup
When you’re the first data hire at a startup, the sky’s the limit—and that can be incredibly overwhelming. Who do you hire first? What tools should you invest in? What KPIs should you measure? And much more. No matter how you cut it, you don’t have an instruction manual, and given how fast the data …
How PagerDuty Applies DevOps Best Practices to Achieve More Reliable Data at Scale
Here’s how the company pioneering DevOps handles data incident response at scale through end-to-end data observability.
How Hotjar Reduced Data Infrastructure Costs by 3x with Monte Carlo
To supplement data testing, Hotjar’s data engineering team chose to implement Monte Carlo for end-to-end data observability, monitoring, and field-level lineage.
eCommerce
Scaling Data Trust: How AutoTrader UK Migrated to a Decentralized Data Platform with Monte Carlo
With Data Observability, Auto Trader scaled data trust and ownership across their self-service data platform.
How Mercari Operationalizes Data Reliability Engineering at Scale
6 best practices from Mercari’s data reliability engineering team for ensuring high quality data..
How SeatGeek Reduced Data Incidents to Zero with Data Observability
In this video, SeatGeek’s Brian London and Kyle Shannon share how data observability helped their data team reduce data incidents from 10 to 0 per month in just one quarter.
How Dr. Squatch Keeps Data Clean & Fresh with Monte Carlo
Data observability helps the groundbreaking men’s personal care product company maintain excellent data hygiene.
Data Observability: How Yotpo Fixes Data Quality at Scale with Monte Carlo
Here’s how the Yotpo leverages Data Observability to prevent broken analytics dashboards and increase trust in their data.
How Resident Reduced Data Issues by 90% with Monte Carlo
With Data Observability, the Data Engineering team at Resident reduced their data downtime by 90% percent.
Media and Advertising
How Kargo Prevents Six-Figure Data Quality Issues With Monte Carlo
The advertising solution provider has created a highly reliable data architecture critical to delivering world-class results for their advertising partners
How Vox Media Scales Data Reliability with Monte Carlo
Discover how Vox uses data observability to deliver reliable data at scale.
One SLA at a Time: Our Data Quality Journey at Red Digital
Our data quality journey was a step-by-step process made possible by open communication.
Data Reliability at Scale: How Fox Digital Architected its Modern Data Stack
Here’s how Fox Digital built their modern data stack with scale, data reliability, and performance in mind.
Delivering on Data Quality: How Choozle Reduced Data Downtime by 88% with Monte Carlo
Snowflake and Monte Carlo enabled the advertising platform to dramatically scale the insights it provides with end-to-end data observability across 3,500 tables.
Fintech and Insurance
Generative AI Use Case: Using LLMs to Score Customer Conversations
Learn how the AssuranceIQ team built a generative AI use case to structure unstructured data and score customer conversations for developing their sales and customer support teams.
Supporting Global Expansion and Critical Data Products: How PrimaryBid Ensures Data Reliability at Scale
Learn how PrimaryBid rebuilt their data stack to ensure reliable data across global markets and how data observability has played a crucial role in their expansion.
Mission Lane: Continuous Compliance Monitoring
This article provides an overview of a newly developed approach to an always on compliance testing strategy at Mission Lane.
How Pie Insurance Created a Self-Serve Incident Triaging & Resolution Workflow with Monte Carlo and Slack
We sat down with Ed Presz, Director of Data at Pie Insurance, to learn how his team built an incident detection and notification workflow to drive domain-oriented ownership of data quality for business stakeholders.
Credit Karma’s Journey to Reliable Generative AI Models with Data Observability
Vishnu Ram, VP Data Science and Engineering at Credit Karma, shares how his team is thinking about data reliability for LLMs and offers best practices.
How Assurance Achieves Data Trust at Scale for Financial Services with Data Observability
Learn how FinServ leader Assurance leveraged data observability to mitigate the risk and financial impact of data quality issues at scale.
Data Vault Architecture: Everything You Need to Know Before You Build
How Pie Insurance improves data quality across their data vault architecture.
How Checkout.com Achieves Data Reliability at Scale with Monte Carlo
Learn how Checkout.com gained visibility into data across domains, scaled data quality checks, and achieved reliability at scale.
How Blend Scales the Impact of Reliable Data with dbt Cloud and Monte Carlo
Discover how Blend’s data team leverages Monte Carlo and dbt Cloud to reduce compute costs and deliver more reliable data at scale.
How PayJoy Drives Data Trust with Monte Carlo
Learn how the data team at PayJoy leverages data observability and end-to-end lineage to drive data trust at scale.
Data Observability: How Clearcover Increased Quality Coverage for ELT by 70 Percent
Learn how the data engineering team at Clearcover increased data quality coverage across their stack by 70 percent with Monte Carlo.
Transportation and Logistics
On-Demand Delivery Service Drives AI Success by Boosting Data Trust with Alation & Monte Carlo
See how a leading on-demand delivery service boosts AI performance using trusted data.
Eureciclo Improves Data Governance And Reliability With Unity Catalog and Monte Carlo
See how Monte Carlo’s data observability solution quickly became an essential component of Eureciclo’s data platform, seamlessly integrating with Databricks, Airflow, PowerBI and other key systems.
How JetBlue Used Data Observability To Help Improve Internal “Data NPS” By 16 Points Year Over Year
Getting data and people where they need to be at JetBlue by prioritizing data trust.
How BlaBlaCar Built a Practical Data Mesh to Support Self-Service Analytics at Scale
See how BlaBlaCar reduced incidents and time to insights by enabling self service analytics and implementing data mesh.
How Optoro Builds Data Trust – and Ownership – at Scale with Monte Carlo
Logistics leader Optoro saves 44 hours per week with end-to-end Data Observability.
Healthcare
How Roche Built Trust in the Data Mesh with Data Observability
The team at Roche shares how they built a data mesh architecture and implemented data observability for reliability.
How Accolade Builds Trust in Data Decisions by Leveraging a Data Observability Framework
Learn how Accolade’s data team saved 40 hours a month by operationalizing data observability.
How Abacus Medicine Built a Modern Data and AI Stack with Databricks and Monte Carlo
Learn how the data team at Abacus Medicine drives data observability at scale with Databricks and Monte Carlo.
Using DataOps To Build Data Products and Data Mesh
In just two years, Roche’s data team went from zero to 40+ data products on a self-service data mesh. Here’s how they did it.
How to Measure the Success of Your Data Team
It’s one thing to build a data team, but how do you measure it? We spoke with Jacob Follis at Collaborative Imaging to learn more.
How Collaborative Imaging Delivers Healthier Data Products with Monte Carlo
In healthcare, bad data can have severe implications. Here’s how Collaborative Imaging uses Monte Carlo to drive data health at scale.
7 Steps for Building a Successful Data Team at Your Startup
When you’re the first data hire at a startup, the sky’s the limit—and that can be incredibly overwhelming. Who do you hire first? What tools should you invest in? What KPIs should you measure? And much more. No matter how you cut it, you don’t have an instruction manual, and given how fast the data …
Consumer Packaged Goods
How Sub-Zero Group Put Data Quality Issues On Ice
The luxury kitchen appliance manufacturer goes the extra mile to ensure data quality meets its high standards.
How PepsiCo Achieved Data Quality at Scale with Monte Carlo
Learn how the data team at PepsiCo uses data observability through Monte Carlo to discover data incidents faster.
Freshly’s Journey to Building Their 5-Layer Data Platform Architecture
How Freshly, a leading meal delivery service, built a more reliable data platform architecture with Snowflake, Fivetran, dbt, Looker, and Monte Carlo.
How Dr. Squatch Keeps Data Clean & Fresh with Monte Carlo
Data observability helps the groundbreaking men’s personal care product company maintain excellent data hygiene.
How The Farmer’s Dog Achieves Self-Serve Data Observability with Monte Carlo
How the data team at The Farmer’s Dog, a fresh dog food company, achieves reliable data pipelines with automated, end-to-end data observability.
Fitness and Wellness
How TOCA Football Achieved Their Data Quality GOOOOOOAL!
TOCA’s data team got off the sidelines, regained data trust, and maximized performance with an assist from data observability.
Gaming
Kolibri Games’ 5-Year Journey to Building a Data Mesh
One startup’s lessons learned learned building a data mesh—and distributed data team—from scratch.
Video Case Studies
How PepsiCo Achieved Data Quality at Scale with Monte Carlo
Learn how the data team at PepsiCo uses data observability through Monte Carlo to discover data incidents faster.
How Vox Media Scales Data Reliability with Monte Carlo
Discover how Vox uses data observability to deliver reliable data at scale.
How Collaborative Imaging Delivers Healthier Data Products with Monte Carlo
In healthcare, bad data can have severe implications. Here’s how Collaborative Imaging uses Monte Carlo to drive data health at scale.
How SeatGeek Reduced Data Incidents to Zero with Data Observability
In this video, SeatGeek’s Brian London and Kyle Shannon share how data observability helped their data team reduce data incidents from 10 to 0 per month in just one quarter.
How PayJoy Drives Data Trust with Monte Carlo
Learn how the data team at PayJoy leverages data observability and end-to-end lineage to drive data trust at scale.