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Glossary term

What is Data Harmonisation?

Definition

Data harmonisation ensures information from different sources aligns with common formats, naming conventions, and attribute standards. It is essential for merging supplier feeds and multi-region catalogs. PIM automates harmonisation to maintain consistent global data quality.

Harmonisation aligns meanings and conventions across sources without forcing unlike values together. For example, an autonomous product data operation could take supplier records using different names for equivalent finishes, align values with an approved shared finish vocabulary, and preserve unusual finishes as review exceptions.

Data Harmonisation in an autonomous operation

  1. Step 1:

    Input

    Supplier records using different names for equivalent finishes

  2. Step 2:

    Data Harmonisation

    Align values with an approved shared finish vocabulary

  3. Step 3:

    Outcome

    Preserve unusual finishes as review exceptions

Harmonisation aligns meanings and conventions across sources without forcing unlike values together.

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