Product demo. 
3 Steps to AI-Ready Data 
What is a data mesh--and how not to mesh it up 
The ULTIMATE Guide To Data Lineage 
Detect smarter, not harder
It’s impossible to anticipate all the ways data breaks. Get better coverage in less time with AI-driven anomaly detection, GenAI recommended monitors, and no-code data validations.
“If you can’t trust the data, then it’s no good. For us, that’s where the data observability platform Monte Carlo comes in.”
“Data observability has become a necessity, not a luxury, for us…nothing is worse than allowing leadership to make a decision based upon data that you don’t trust.”
“Our main goal is to drive data servability with data observability and that’s what we’re planning to do with Monte Carlo.”
Scale Quality Testing
No-code UI + AI = data quality for all.
- Get AI recommended quality rules based on profile.
- Set quality tests with an intuitive drag-and-drop UI.
- Define custom metrics and rules with SQL or GenAI.
- Re-use common quality checks with templates.
- Integrate checks into pipelines to stop bad data.
Deploy AI-Driven Anomaly Detection
The most widely used and proven AI anomaly detection, monitoring millions of assets.
- Create AI monitors to identify data anomalies across quality dimensions.
- Leverage pre-built 50+ metrics or define your own.
- Monitor key segments important to your organization.
- Extend monitors automatically to select data products.
Drill In With Data Profiling
GenAI reveals trends and recommends monitors.
- Get GenAI recommended monitors informed by profile, query history, and field metadata.
- Review sophisticated recommendations for segmented, multi-column and regex monitors.
- Understand key metrics at a glance such as percent null, unique, mean, and more.
- Select intuitive no-code filters to drill into specific segments and time periods.
Create Consistency
Nothing kills trust like having two values for the same metric.
- Access cross table and cross database monitoring.
- Monitor for referential integrity and cardinality.
- Get alerted to unacceptable differences.
- Ensure no incidents arise from syncing across data systems and repositories.
Track Data Quality Scores
Data quality reporting that drives smart actions and investments
- Set data quality standards or data contracts at the use-case level with intuitive monitor tags.
- Measure across all six dimensions of data quality.
- See your data quality score trend across time.
- Dive into active alerts and invalid records.
