completn

Completn is a coined term used to denote a state of maximal completeness in data sets, documentation, and business processes. It is not an official standard, but it has appeared in informal glossaries and software-related discourse to distinguish a fully complete state from the common usage of the word complete.

In data quality contexts, completn refers to the condition where all required fields are present, values are valid, and records are consistent across sources. In workflow and project management, a task, artifact, or step attains completn when all prerequisites are satisfied, validations passed, and dependencies resolved. The concept is often applied across domains to signal readiness for subsequent actions, releases, or handoffs.

Measuring completn typically involves metrics such as a completeness ratio (the number of non-missing required fields divided by the total required fields), field-level coverage, and validation pass rates. Some implementations also consider timeliness, version consistency, and cross-source agreement as components of completn. Because there is no universal standard, definitions of completn are domain-specific and may evolve with practice.

Usage patterns vary by field. In data pipelines, completn gates can trigger downstream processing only when the completeness threshold is met. In documentation, software release planning, or onboarding, completn indicates readiness for release or transfer to another team. The lack of a formal standard means organizations often define their own criteria for what constitutes completn within their workflows.

Related terms include completeness, data quality, and data integrity.