Data Enrichment

Data enrichment is the process of improving existing data by adding metadata, attributes or linked information from other sources. In spatial and industrial datasets, this may include connecting 3D objects with documentation, asset identifiers, maintenance history or sensor data.

Data enrichment increases the usefulness, context and decision-making value of digital environments. It helps turn raw geometry or scan data into an operationally meaningful source of truth.

See also: Metadata, Asset data, Digital Twin