How AI works for Data Quality
Databoss’s checks use advanced machine learning and AI to automate data quality and detect data failures. This ensures reliability for enterprise data systems, regardless of scale, number of sources, and complexity of data types and structures.
Use AI to inspect your data sets and test if everything is as it should be. Identify deviations and problems that escape human experts.

- Check if distributions of attributes and values are as expected.
- Test significant correlations and verify that that they exhibit the expected accuracy.
- Compare attributes with defined warnings and error thresholds
- Check latest values against forecasts and trends
- Observe if associated metadata from arrival time, data volume and sources can be classified as normal
- Check for missing data and absence of segments