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Method#Data#Analytics

Continuous Data Quality Monitoring (CDQM)

Continuous Data Quality Monitoring (CDQM) is a process for ensuring ongoing data quality. It enables organizations to quickly identify and rectify issues in their data, leading to better decision-making and increased efficiency.

This block bundles baseline information, context, and relations as a neutral reference in the model.

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Definition · Framing · Trade-offs · Examples

What is this view?

This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.

Baseline data

Context
Organizational level
Domain
Organizational maturity
Intermediate
Impact area
Organizational
Decision
Decision type
Technical
Value stream stage
Iterate
Assessment
Complexity
Medium
Maturity
Established
Cognitive load
Medium

Context in the model

Structural placement

Where this block lives in the structure.

Theme space
Data & Intelligence
Theme area
Data Strategy & Data Governance
Segment
Data Quality & Controls
#Data#Analytics

Relations

Connected blocks

Directly linked content elements.

Content · Related to
(1)
Data Observability
Concept
Process · Precedes
(1)
Data Quality Assessment
Method