Data quality

https://knobit.org/id/competence/data-quality

consists of	Set the data quality strategy and framework
consists of	Select the critical data elements
consists of	Document data rules in SBVR
consists of	Derive data quality rules
consists of	Profile and assess data quality
consists of	Analyse the root causes
consists of	Manage data quality issues
consists of	Set data quality service levels and the scorecard
dcterms:license	https://creativecommons.org/licenses/by/4.0/
owl:sameAs	https://bitbucket.org/reffa/ontology/id/competence/data-quality
rdfs:comment	Data quality management end to end — critical data elements (BCBS 239), data rules as SBVR statements with their enforcement, DQ rules derived from them against the physical model, profiling and assessment (ISO/IEC 25012, 25024), root cause analysis, issue management with impact-based severity and verified closure, and SLAs and scorecards that cannot hide a failing critical element, plus a standalone DQ strategy — each a YAML file gated by an anomaly review checklist. Use it whenever the user mentions data quality, a DQ strategy, critical data elements, business or data rules, SBVR, DQ rules or checks, BCBS 239 accuracy, profiling results, null rates, DQ dimensions, a root cause, a DQ issue log, DQ SLAs or a scorecard, or numbers that "look fine" but feel wrong — or hands over rules, profiling output, an issue log or a scorecard for review. en
rdfs:label	Andmekvaliteet et
rdfs:label	Data quality en
related topic	Data quality (DAMA-DMBOK2 chapter 13)

Used by

related learning outcome	data-quality skill (SKILL.md)
related learning outcome	Check codes
related learning outcome	Data quality file schemas
related learning outcome	Tests of the data-quality skill
requires competence	Data quality analyst