The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics
Datapine Blog
SEPTEMBER 29, 2022
Maybe your company already utilizes analytics but isn’t giving due diligence to data quality control. He writes that when these two databases disagree with each other, you must set up a winner-loser matrix that states which database’s entries are to be regarded as “true”. One huge intangible cost: bad decisions.
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