Datahanterings

Datahanterings refers to the set of practices, policies, and technologies used to manage data as a strategic asset within an organization. It encompasses the capture, storage, processing, sharing, archiving, and disposal of data, with emphasis on quality, accessibility, security, and privacy.

Key components include data governance, which establishes decision rights and accountability for data; data quality management, to ensure accuracy, completeness, consistency, timeliness, and validity; metadata management, to document data origins, definitions, and lineage; data architecture and integration, to enable interoperability across systems; and data security and privacy controls, including access management, encryption, monitoring, and regulatory compliance.

Data lifecycle management is central to datahanterings, typically covering data collection and ingestion, validation and cleansing, storage and organization (such as in data catalogs, warehouses, or data lakes), usage and sharing, archival, and eventual deletion.

Roles such as data owner, data steward, data custodian, and privacy officer define responsibilities and decision rights. Documentation, standards, and policies are maintained in data inventories or catalogs to support discoverability and governance.

Effective datahanterings supports informed decision-making, operational efficiency, and regulatory compliance, while reducing risk and fostering trust. Common challenges include fragmentation across systems, inconsistent data definitions, insufficient data quality, and resource demands, which require ongoing governance, alignment with business objectives, and a data-centric culture.