Data Engineering, Data Quality, Data Governance, Data, Analytics.
with no room for errors. However, most companies don’t have a way of objectively assessing the quality of their data, which prevents them from identifying problematic areas or tracking improvements over time. In this post, we look into Considerations when measuring quality The data asset-centric