The COMPEL Glossary Graph visualizes relationships between framework terminology, showing how concepts interconnect across domains, stages, and pillars. Term nodes cluster by pillar affiliation while cross-references reveal semantic dependencies — for example, how risk appetite connects to control effectiveness, model governance, and assurance requirements. This network representation helps practitioners navigate the framework vocabulary and understand that COMPEL terminology forms a coherent conceptual system rather than isolated definitions.
COMPEL Glossary / readiness-scorecard
Readiness scorecard
A structured, dimension-by-dimension artifact summarizing evidence, scores, remediation priorities, and owner assignments for a use-case-scoped data-readiness assessment.
What this means in practice
Primary deliverable of the AITM-DR credential; serves as both an audit artifact and a go/wait/redesign decision input for downstream AI initiatives.
Synonyms
data readiness scorecard , AI data readiness dashboard
See also
- Data quality dimension — A measurable attribute of data integrity — accuracy, completeness, consistency, timeliness, validity, uniqueness, representativeness — used as a scoring axis in a data-readiness rubric.
- AI data lifecycle — The nine-stage progression from sourcing through retirement used as the reference frame for data readiness: acquisition, preparation, labeling, governance, training use, validation, deployment use, monitoring, retention and retirement.
- Remediation roadmap — A phased, resourced plan that closes identified readiness gaps, sequenced against the organisation's change capacity and dependency map.