What are the most common causes of Data Quality issues? The conventional answer to that question includes problems like inaccurate data, duplicate data, or data containing missing values. These are the sorts of issues that organizations tend to focus on when they want to improve the quality of their data so that they can leverage it more effectively. These are indeed common sources of Data Quality problems. However, they’re really only surface-level issues. If you truly want to improve the quality of your data, you need to dig beneath the surface to get at the root cause of Data Quality problems: Poor Data Governance. Until you do so, you’ll only be treating the symptoms of Data Quality challenges rather than curing their root cause.
