Kokonaisdata

Kokonaisdata is a term used in data management to describe a holistic, organization-wide dataset that aggregates and harmonizes data assets needed for decision-making, analytics, and governance. It typically aims to provide a single, coherent view of an organization's data by combining structured data from transactional systems, semi-structured data from logs and documents, unstructured content, and relevant external data sources, along with metadata and lineage information.

The term is of Finnish origin (kokonais meaning "total" or "whole"), but it has been adopted in broader data-management discourse to denote the concept of a comprehensive data asset that transcends departmental silos.

Core components include data sources inventory, metadata and data lineage, quality rules, a central or federated repository (such as a data lake, data warehouse, or data fabric), and governance policies that ensure access control and data privacy.

Implementation approaches vary; some organizations pursue a centralized data platform to house all data, while others adopt federated or mesh architectures that preserve local control while enabling a global view.

Benefits include consistent metrics, easier cross-domain analytics, improved data quality, and better compliance. Challenges include data integration complexity, keeping metadata current, governance across domains, privacy concerns, and the need for clear ownership and stewardship.

Kokonaisdata is related to concepts such as data governance, data integration, master data management, data cataloging, data fabric, and data mesh.