Inspection
Work Planning
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The degree to which data is accurate, complete, consistent, valid and fit for its intended purpose.
Data Quality (DQ) is the measure of how well data satisfies defined business, technical and operational requirements. High-quality data is accurate, complete, consistent, timely, valid and uniquely identifiable, enabling reliable decision-making and effective operation of engineering, maintenance and asset management systems.
Data Quality is fundamental to safe operations, effective maintenance planning, reliable analytics and trustworthy digital asset information throughout the asset lifecycle.
Data Quality is typically measured using defined quality rules, completeness metrics, validation routines and governance processes that continuously monitor and improve information quality.
Data Quality describes the overall condition of information, while Data Validation refers to the specific activities used to verify that data satisfies defined quality rules.
Industrial Data & Analytics; Asset Information Management; Digital Engineering.
Asset data improvement.; Digital handover.; Master data management.; Engineering data validation.; Reporting and analytics.
ISO 8000
VisualAIM connects glossary concepts to the asset records, inspection histories, and workflows they describe.
