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Data Speaks for Itself: Is Your Data Quality Management Practice Ready for AI?
While everyone is asking if their data is ready for AI, I want to ask a somewhat different question: Is your data quality management (DQM) program ready for AI?  In my opinion, you need to be able to answer yes to the following four questions before you can have any assurance you are ready to […]


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Author: Dr. John Talburt

Data Governance: The Oft-Overlooked Pillar of Strong Data Quality


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 […]

The post Data Governance: The Oft-Overlooked Pillar of Strong Data Quality appeared first on DATAVERSITY.


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Author: Daniel Zagales