DQC Logo
|

Quality Dimensions

Quality dimensions allow you to assess and categorize your data quality results across recognized criteria such as completeness, accuracy, and consistency. These dimensions help communicate which types of problems exist, not just where they exist.

They can be used for reporting, governance, and benchmarking — and are also exportable for integration with BI dashboards.

Where to find quality dimensions

Navigate to Settings > Quality Dimensions to view and configure them.

Each dimension includes a name, description, and rule mapping

Default dimensions

The DQC Platform includes the following predefined dimensions:

  • Completeness

  • Conformity

  • Freshness

  • Accuracy

  • Consistency

  • Uniqueness

Each dimension has a description and a set of rule types associated with it. This determines how rules contribute to quality scores in that dimension.

Click any dimension to see its linked rules and logic

Editing a quality dimension

To customize a dimension:

  1. Go to Settings > Quality Dimensions

  2. Click Edit next to a dimension

  3. Update the:

    • Name

    • Description

    • Assigned rule types (which rule categories affect the score)

This allows you to tailor quality reporting to your organization's framework or industry requirements.

You can match rules to your own interpretation of each dimension

BI integration

Results by quality dimension can be visualized in a Power BI dashboard.

Use this view to:

  • See which tables underperform in specific dimensions (e.g. low completeness)

  • Track progress over time across departments

  • Support governance, audits, and stakeholder communication

undefined Notes