DSSsamræmis

DSSsamræmis is a concept in information systems that refers to the alignment and coherence of a decision support system (DSS) with an organization’s objectives, decision processes, data governance, and user needs. The term captures how well a DSS fits within the broader context of business workflows, data sources, and regulatory requirements, and how transparently its outputs support decision makers.

The concept encompasses several dimensions, including data quality and lineage, the validity and transparency of analytic models, integration with existing systems and processes, and the usability and trustworthiness of the system. It also involves governance and compliance considerations, such as access control, privacy protection, and auditability of decisions.

Why DSSsamræmi matters lies in ensuring that the outputs of a DSS are reliable, explainable, and actionable. When samræmi is achieved, decision makers can understand how conclusions are reached, trace data provenance, and rely on the system for consistent performance across varying conditions. It also facilitates better adoption, reduces risk, and supports accountability within the organization.

Practices to promote DSSsamræmi include requirements-driven design, rigorous data quality management, model validation and testing, explanation and transparency of results, and ongoing monitoring with feedback loops. Strong governance, clear ownership, and alignment with enterprise standards help maintain samræmi as business needs evolve and regulatory environments change.

See also: decision support systems, data governance, model transparency, interoperability, and auditable analytics.