Measure data quality

Build trust and improve service levels by measuring what matters.

  • Sofi
  • Opentable
  • Pepsi Co
  • JetBlue
  • CNN
  • Affirm
  • Fox
  • Shutterstock
  • MasterClass
  • Gusto
  • HubSpot
  • Payjoy
  • Gitlab
  • Vizio
  • Sonos
  • Toast
  • Weights & Biases
  • Prefect
  • Credit Karma
  • Mercado Libre
  • Seatgeek

The Monte Carlo difference

Insight into incident response times.

Reliability indicators at domain, product, and table levels.

Health status dashboards.

“It has also helped us to understand where problems are likely to occur, where things are brittle. And over time, we’ve invested effort into cleaning up our lineages, simplifying our logic.”

Brian London Director of Engineering

“It tells us where to optimize our time and resources…Having a record also evolved the evaluation of our [data] team from a feeling…to something more evidence based.”

Brandon Beidel Director of Product Management

“The platform gave me a mental picture of where to invest time fixing pipelines or changing data sources…. Whereas before Monte Carlo, we’d only see a portion of the errors that were flagged by a stakeholder or maybe a dbt test.”

Nick Johnson VP of Data, IT, & Security

Demonstrate ROI

Step one: improve data reliability. Step two: show off data reliability

  • See incident levels over time.
  • Track table uptime percentages automatically for freshness, volume, and other key quality dimensions.
  • Drill into uptime by domain.
Custom Monitoring

Build trust

Surface key data product service level indicators so others can see if they fit their needs.

  • Demonstrate data health across assets within your pipeline.
  • Understand data product support levels and operational response.
  • Uncover specific incidents and trends to enforce data SLAs.

Allocate resources wisely

Know where your data quality hotspots are so you can give them extra time and attention.

  • See which tables suffer the most data quality incidents and which pipelines may need refactoring.
  • Know which teams and domains have best practices to share and which need additional support.
  • Deprecate unused tables and fields.