Monitoring data quality is more than pipeline testing and the job status. Examine the data content, track core quality measures, and incorporate domain-specific conditions with Proximo Data’s comprehensive and autonomous data quality monitoring in one easy setup.
By default, monitor timeliness (whether data is late to update), volume (missing or duplicate data), schema changes, and column quality (anomalies).
Get the visibility you need to build confidence in the quality of your data products without spending time building or maintaining custom systems.
Help your team use the same core measures of data quality. Use domain knowledge to customize monitoring further, and share that info with the broader team.
Sync any SQL compatible data storage solution: Presto, Athena, Snowflake, Postgres, MySQL, Aurora, DataBricks, and more.
Set filters, data aggregations, domain specific conditions, and key metrics that capture the way you actually use the data. No code required.
You’re the domain expert. You should have visibility into data quality problems and be able to work with data teams to manage, monitor, and fix issues.
There are always problems in the data. With a risk level created per data issue—based on anomaly detection and data flagged by users as most important—you can focus on what matters most.
Data teams use Proximo to proactively identify data problems, understand their customer impact, and communicate quickly to relevant stakeholders.Request a demo