enhetsdata

Enhetsdata, often translated as "entity data" or "unit data," refers to data that describes discrete units within a domain. It encompasses information about individual entities such as customers, products, locations, or sensors, as opposed to aggregated or transactional data. The term is commonly used in information systems, data management, and statistics to denote records that identify and characterize single units.

A typical enhetsdata record includes a unique identifier, a human-readable name, a type or category, and key attributes relevant to the domain. It may also contain time-related fields (such as validity periods), location or geographic data, and links to related entities (for example, a store belonging to a company division or a sensor node connected to a specific device). Relationships between units are a central aspect of enhetsdata, enabling hierarchical, spatial, or networked structures.

In practice, enhetsdata supports activities such as reporting, analytics, and data integration. It enables consistent referencing across systems, supports master data management, and provides the granular foundation for transformations, joins, and aggregations in data pipelines. Common applications include customer master data in CRM, asset or inventory records in ERP, and geographic units in GIS.

Quality and governance are essential, as enhetsdata relies on accurate identifiers, standardized attributes, and proper data lineage. Practices include data validation, deduplication, metadata documentation, and privacy safeguards to ensure reliability and interoperability across organizational systems.