6 Pillars of Data Quality and How to Improve Your Data
See how data quality encompasses various aspects, including accuracy, consistency, completeness, reliability, uniqueness and relevance.
Detect and resolve your data issues faster than ever with Databand. The only continuous data observability platform that catches bad data before it impacts your business.
Data quality incidents aren’t going away. That’s where Databand’s continuous approach helps data teams detect & resolve data incidents from your data pipelines to your warehouse.
Continuously monitor your data in transit and at rest to alert data teams when data incidents occur.
Automatically capture error logs and root causes from metadata to fix incidents in hours, not days.
Deliver trusted data with ML-powered anomaly detection and alert the right data stakeholders.
Gain insights into data reliability and quality under one roof. Databand’s data observability platform provides a central place to define and receive alerts around data incidents. This way you can rapidly detect, alert, and resolve incidents without jumping from screen to screen.
Databand helps you see how data incidents impact your upstream and downstream data processes with end-to-end data lineage.
Connect your data processes and pipelines to detect missing operations, failed jobs, and run durations earlier with Databand’s data observability platform.
Ensure better data quality by monitoring data SLAs, unexpected column changes, and null records before they get to the warehouse.
See how Databand can transform data observability at your organization today.