My previous post posited that data quality has a rotating frame of reference that can not be ignored, meaning that data quality standards need to be relative to the frame of reference of each specific business use for data across the enterprise. The post, and the commentary it received, rekindled the data quality debate between real-world alignment and fitness for the purpose of use.
In his post Omni-purpose Data Quality, Henrik Liliendahl Sørensen posited that “if you have several different business objectives using the same data you will usually discover that aligning with the real world fulfills all the needs.”
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