Data quality is the process of ensuring data meets expectations.
There are three main ways to detect a data quality issue:
- A business user reports an issue.
- A data test fails.
- Data monitoring raises an alert.
How to handle data quality issues by detecting, understanding, fixing, and reduce
Data Quality: Refers to the accuracy, consistency, and reliability of data. Data observability often includes mechanisms for measuring and improving data quality through automatic tests and checks.