Data Cleansing

Data cleansing, also known as data cleaning or data scrubbing, is a process in MDM that involves identifying and correcting inaccuracies, inconsistencies, and redundancies in an organization’s master data. 

It can involve tasks such as verifying data accuracy, removing duplicates, standardizing data formats, and completing missing data. By implementing data cleansing as part of an MDM strategy, organizations can improve the accuracy and consistency of their master data.

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