data-quality

CMDB data quality is measured by evaluating completeness, accuracy, consistency, timeliness, uniqueness, and validity across CMDB classes to maintain trusted configuration data for impact analysis.

Detecting duplicate and stale CMDB records requires applying structured reconciliation workflows and staleness detection checks to identify outdated infrastructure information and reduce data ambiguity.

CMDB health assessments for governance and maintenance are performed by running scripted checks via CMDB tools to audit incomplete, duplicate, and stale records, guiding continuous remediation.

CMDB data quality evaluation requires discovery alignment and role-based access to ensure configuration items are accurately populated and access is governed during health assessments.

Relationship health checks identify orphaned or mislinked configuration items in the CMDB to improve data consistency and ensure reliable impact analysis and change planning.

Scripted CMDB data quality checks depend on the listed CMDB tools for querying tables and updating records, meaning execution is constrained by role-based access permissions and discovery alignment.