Data Quality

Concept for ensuring and managing data quality using metrics, governance and improvement processes.

Data quality describes the fitness of data for specific purposes, characterized by accuracy, completeness, consistency, and timeliness.

Maturity

Established

Cognitive loadMedium

360° overview

Six perspectives place the building block in context. The numbers show where each perspective continues in the reading path.

The building block at a glance

Data Quality

360°

2

2

Integrations

Data catalogs (e.g. Amundsen, DataHub)

+2

1

Define and assign ownership for measurable quality metrics

Value stream stage: Iterate

4

3

4