Data Cleansing

v.

Pronunciation

/ˈdeɪtə ˈklɛnzɪŋ/

Definition

The process of identifying, eliminating, and improving bad data.

Data cleansing helps remove issues of useless data to ensure validity and accuracy throughout the organization. Some data cleansing techniques include filling in missing values, identifying and reducing noise in the data, eliminating erroneous data, and removing duplicate data. Data cleansing plays a key role in data quality when working with a PIM platform.

Category

Data Governance

Related Terms

Data Quality, Deduplication

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