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Glossary term

What is Data Quality Automation?

Definition

Data quality automation uses AI and machine learning to detect and resolve product data issues. It improves completeness, consistency, and correctness with minimal manual effort. PIM systems use automation to scale high-quality data across catalogs.

Automated checks should distinguish defects that can be corrected from those requiring judgment. For example, an autonomous product data operation could take a daily supplier lighting update, check required fields, allowed values, and duplicate identifiers, and correct permitted formatting issues and queue unresolved defects.

Data Quality Automation in an autonomous operation

  1. Step 1:

    Input

    A daily supplier lighting update

  2. Step 2:

    Data Quality Automation

    Check required fields, allowed values, and duplicate identifiers

  3. Step 3:

    Outcome

    Correct permitted formatting issues and queue unresolved defects

Automated checks should distinguish defects that can be corrected from those requiring judgment.

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