Inspection
Work Planning
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The process of verifying the completeness, consistency, quality and integrity of intelligent engineering and asset data.
Smart Data Validation (SDV) is the systematic process of verifying intelligent engineering and asset information to ensure that data is complete, accurate, internally consistent and suitable for its intended operational use. Smart Data Validation combines automated validation rules with engineering knowledge to identify missing, inconsistent or invalid information before the data is accepted into operational systems.
Smart Data Validation improves the quality and reliability of engineering information by verifying its completeness, consistency and integrity.
Smart Data Validation commonly evaluates engineering attributes, equipment relationships, document consistency, reference data and business rules to support digital engineering and lifecycle information management.
Smart Data Validation verifies the quality and integrity of engineering information, whereas Master Data Management governs the creation, maintenance and synchronization of master data across enterprise systems.
Information Management; Data Quality; Digital Engineering.
Asset management.; Engineering.; Industrial automation.; Oil and gas.; Infrastructure.
VisualAIM connects glossary concepts to the asset records, inspection histories, and workflows they describe.
