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First and foremost, the main reason usually invoked is dataquality. Dataquality is the condition of a set of qualitative or quantitative variables, that should be “fit for [its] intended uses in operations, decision making and planning”, according to an article written by author Thomas C. 2) Walmart.
When people experience inconsistency (dissonance) such as conflicting information, they are motivated to dismiss the new evidence as erroneous rather than questioning their original data or opinion. Rather than automatically assuming you have a dataquality issue, you may have a change management issue instead.
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