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A Strategic Approach to Data Quality

December 1, 2021

“To tackle today’s Data Quality challenges, you need a more strategic approach,” said Nigel Turner, Principal Consultant, Global Data Strategy. Turner spoke at the DATAVERSITY Enterprise Data Governance Online (EDGO) Conference about Data Quality Management, what it entails, and how to succeed by aligning it closely with two other disciplines.

What is Data Quality Management?

The DAMA-DMBoK2 defines Data Quality Management as the planning, implementation and control of activities that apply quality management techniques to data in order to assure it is fit for consumption and meets the needs of data consumers. Quality data is demonstrably fit for purpose because it can be proven to meet the needs of the users of the data, said Turner.

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