4.2 Data Quality Registry

The Data Quality (DQ) Registry provides a detailed overview of the data quality checks available across different entities. It serves as a central repository to analyze and monitor the distribution and classification of these checks. Key highlights of this report include:

  • Distribution of Checks: Offers a breakdown by type, severity, and class, providing insights into how checks are applied and their criticality across entities.
  • Checks by Severity and Entity Types: Classifies checks based on their severity levels and applicable entity types, helping users pinpoint areas that need the most attention.
  • Number of Checks by Entity: Showcases the prominence of data quality checks across different source tables. Larger font sizes indicate higher number of DQ Checks configured for that particular entity, providing a visually intuitive way to comprehend the distribution of DQ Checks.
  • Activity - Results Data Browsing
    • Objective: To highlight the number of data quality checks configured for different entities.
    • Persona: Business Analyst

Table 4-4 Number of Checks by Entity

Step Description Observations
Follow the navigation path: Home → Catalog → Shared Folders → Data Quality Visualization à Data Quality à Data Quality Registry Larger font sizes indicate higher number of Data Quality checks.
Number of checks by entity

  • Number of Data Quality Checks by Source Table (Bar Chart): This bar chart displays the source tables on the x-axis, arranged in ascending order based on the number of configured Data Quality (DQ) checks, which are shown on the y-axis.
  • Activity - Results Data Browsing
    • Objective: to provide a clear overview of the distribution of Data Quality (DQ) checks across source tables.
    • Persona: Business Analyst

Table 4-5 Checks by Entity

Step Description Observations
Follow the navigation path: Home → Catalog → Shared Folders → Data Quality Visualization à Data Quality à Data Quality Registry Tab

The chart displayed is based on the default filter criteria. This can be customized by choosing a different filter.


Checks by entity

  • Number of Checks by Severity, Class, Type and Entity (Table): Number of DQ checks are organized by Severity, Class and Type names for each entity, presented in a table format.
  • Activity - Results Data Browsing
  • Objective: To list all the DQ checks in a tabular format.
  • Persona: Business Analyst

Table 4-6 Number of Checks by Severity, Class, Type, and Entity

Step Description Observations
Follow the navigation path: Home → Catalog → Shared Folders → Data Quality Visualization à Data Quality à Data Quality Registry
Checks by severity, class, type and entity

  • Distribution Of Checks by Type, Severity and Class (Donut Chart): Number of DQ checks organized by Severity, Class and Type names for each source table column, in a donut chart layout. Severity and Class names are visually represented within separate trellis columns, and Type segregated by color providing a clear depiction of their distribution and relationship.
  • Activity - Results Data Browsing
    • Objective: to provide a comprehensive view of the distribution of Data Quality (DQ) checks by severity, class, and type across source table columns.
    • Persona: Business Analyst

Table 4-7 Distribution of Checks by Type, Severity, and Class

Step Description Observations
Follow the navigation path: Home → Catalog → Shared Folders → Data Quality Visualization à Data Quality à Data Quality Registry
Distribution of checks by type, severity, and class