Skip to content
Datablau DAMData governance documentation

Metric management overview ​

Metric Management is a complete capability under Data Standards for atomic, calculated, and qualified metrics, dimensions, lifecycle, mappings, preview, authorization, monitoring, and queries. Its license is Data Metrics. Metric Standards is a separate entry point.

Usable metrics require definitions, component preparation, approval, mapping, result verification, and authorization.

Choose a task ​

StageTaskGuide
DimensionsFolders, hierarchy, mappings, valuesDimensions
DefinitionsAtomic/calculated metrics, qualifiers, time periods, qualified metricsDefinitions
GovernanceImport/export, publication, change, deprecation, review, authorizationGovernance
Data accessSources, tables, metric/dimension columns, previewMapping and preview
Ongoing useAlerts, monitoring, subject folders, self-service queriesMonitoring

Understand the main objects ​

ObjectPurposePrerequisite
Dimension DefinitionsAnalytical perspectives, levels, valuesDefined folder and meaning
Atomic/Calculated MetricsBasic measures and calculationsDefinition, unit, owner
Qualified MetricsExisting metrics plus periods/qualifiersConsistent components
Qualifier ManagementScope, state, or type constraintsDistinct, unambiguous names
Time Period ManagementStatistical range/grainAlignment with extraction logic
Subject FoldersGroup sources and metricsVerified mappings
Metric ApplicationsSelf-service queries by subjectQuery permissions and mappings

Atomic metrics are indivisible business measures. Calculated metrics apply formulas/business rules to atomic metrics. Qualified metrics add time periods or qualifiers to existing measures. These relationships define meaning; queries still require mappings.

Follow the complete workflow ​

  1. Define business question, owner, object, calculation, unit, and refresh frequency.
  2. Prepare dimensions and hierarchy and identify required physical mappings.
  3. Create atomic/calculated metrics, then qualified variants if needed.
  4. Approve publication and verify editing, viewing, and querying scopes.
  5. Map metrics/dimensions to sources, tables, and columns; verify known samples.
  6. Configure alerts, monitoring, subjects, and queries; inspect execution history.

Publication does not enable queries by itself; saved mappings do not prove correct definitions; saved alerts do not establish execution.

Understand the Metric Standards boundary ​

Metric Standards provides basic definitions and dimensions. Metric Management adds composition, data access, monitoring, and permissions. Parameters may control visibility/editability. Published metrics and dimensions can synchronize to Metric Standards. Avoid conflicting definitions across the two entry points.