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Data quality

Data quality is the suitability of information for its intended use. For product data, it includes accuracy, completeness, consistent units and agreement between the source and selling page. Missing or conflicting fields can cause incorrect displays or product disapprovals.[1]

A populated dimensions field is not necessarily correct if packaging and product measurements are confused. Check meaning as well as format. Assign responsibility for correcting the source; fixing only one channel's visible symptom allows the same error to reappear during the next data exchange.

Content updated:

Sources

  1. Product data specification

Compiled with AI assistance using public sources. General explanation, not individual legal or tax advice. Describing a concept does not mean Zoloo offers it as a feature.