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Glossary term

What is Data Cleansing / Data Hygiene?

Definition

Data cleansing is the process of identifying and correcting inaccurate, incomplete, or duplicated product data. It ensures product records remain reliable and high-quality across all systems. In PIM, cleansing improves customer experience, operational accuracy, and analytics.

Cleaning should correct known defects without silently discarding valid source information. For example, an autonomous product data operation could take dimensions containing extra spaces and inconsistent decimal separators, apply approved cleanup rules and retain original values, and route ambiguous measurements for correction.

Data Cleansing / Data Hygiene in an autonomous operation

  1. Step 1:

    Input

    Dimensions containing extra spaces and inconsistent decimal separators

  2. Step 2:

    Data Cleansing / Data Hygiene

    Apply approved cleanup rules and retain original values

  3. Step 3:

    Outcome

    Route ambiguous measurements for correction

Cleaning should correct known defects without silently discarding valid source information.

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