Data Hygiene De-duplication Efficiency Validation 
SmartBug Media
JUNE 2, 2021
Quite simply, the goal of data cleaning is to remove data that is incorrect in an effort to prepare data for analysis or an integration. This could mean removing incomplete data, data that is not formatted correctly, or data that is duplicated. 5 Things to Remember When Data Cleaning.
DealSignal
MARCH 11, 2019
Yet, at no point did I hear a discussion of data quality, data hygiene, contact verification, field standardization, or company and contact enrichment. Except for a short discussion on de-duplication of records, you would think that data was miraculously keyed into CRMs perfectly and wasn’t subject to decay.
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