Inspection
Work Planning
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The process of verifying that data complies with defined business rules, quality requirements and technical standards.
Data Validation is the systematic process of checking information against predefined rules to ensure that it is complete, accurate, consistent, correctly formatted and suitable for its intended use. Validation may include automated rule checking, cross-system reconciliation, engineering verification and manual review before data is accepted into operational systems.
Data Validation improves data quality, reduces errors and ensures that engineering and asset information can be relied upon for operations, maintenance and decision-making.
Data Validation rules commonly verify mandatory attributes, reference data, naming conventions, relationships, engineering consistency and compliance with project or corporate standards before data is approved.
Data Validation is the activity of checking information against defined rules, whereas Data Quality represents the resulting condition of the data after validation and ongoing governance.
Industrial Data & Analytics; Asset Information Management; Digital Engineering.
Digital handover.; Engineering data verification.; Master data management.; Asset information loading.; Data migration.
ISO 8000
VisualAIM connects glossary concepts to the asset records, inspection histories, and workflows they describe.
