Data Quality
In the context of Product Lifecycle Management (PLM) and manufacturing engineering, data quality refers to the accuracy, completeness, and consistency of product-related information stored in a digital repository, ensuring reliable decision-making and efficient production processes. It encompasses aspects such as data integrity, formatting standards, and metadata management.
Why it matters
Data quality is crucial for PLM professionals and manufacturing engineers as it directly impacts the accuracy, reliability, and efficiency of product development, design validation, and production processes, ultimately affecting product safety, quality, and competitiveness.
External References
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Cite this definition
Finocchiaro, Michael. “Data Quality.” DemystifyingPLM PLM Glossary, 2026, https://www.demystifyingplm.com/glossary/data-quality