Maria Pulawska
Data quality refers to the measure of how well data meets the requirements of its intended use. It ensures that the data is accurate, consistent, complete, and reliable, which is essential for effective decision-making. High-quality data minimizes errors and builds trust in your data.
Since the definition of "good" data varies depending on specific needs or use cases, we let you customize what data to check and define your own expectations for the data.
In Dataedo you will be able to:
- Create rule instances by selecting from over 80 predefined rules.
- Browse Data Quality results, enabling everyone in your organization to make data-driven decisions.
- Monitor changes in the number of failed rows.
- Save failed rows and easily identify them in your data source for quick fixes.
- Schedule Data Quality runs as often as needed, based on the severity of the data.