Overview
Data Quality Dimensions provide a structured framework for classifying, reporting, and analyzing data quality issues across datasets and business processes in Syniti Knowledge Platform (SKP). This feature enables you to categorize data quality assets (rules, business processes, datasets, and subject areas) based on commonly recognized dimensions such as accuracy, completeness, conformity, consistency, integrity, timeliness, and uniqueness.
By implementing Data Quality Dimensions, you can gain more meaningful insights into your data quality landscape, better prioritize remediation efforts, and align with industry data governance standards. Seven standard dimensions are available, but administrators can customize and extend these dimensions to meet specific organizational needs.
Key Benefits:
Standardized classification of data quality issues
Enhanced reporting and analytics capabilities
Improved prioritization of data quality remediation
Better alignment with industry governance standards
Flexible customization options for organizational requirements
Quality Dimensions in the SKP
The SKP provides seven system-defined Data Quality Dimensions that represent the most common categories of data quality issues. These dimensions cannot be deleted but can be enabled or disabled based on organizational needs.
Standard Dimensions
Accuracy
Determines the extent to which data objects correctly represent the real-world values for which they were designed.
Example: Sales orders for the Northeast region must be assigned a Northeast sales representative.
Completeness
Determines the extent to which data is not missing.
Example: An order is not complete without a price and quantity.
Conformity
Determines the extent to which data conforms to a specified format.
Example: The order date must be in the format YYYY/MM/DD.
Consistency
Determines the extent to which distinct data instances provide non-conflicting information about the same underlying data object.
Example: The salary range for level 4 employees must be between $40,000 and $65,000.
Integrity
Determines the extent to which data is not missing important relationship linkages.
Example: The launch date for a new product must be valid and must be the first week of any quarter, since all new products are launched in the first week of each quarter.
Timeliness
Determines the extent to which data is sufficiently up-to-date for the task at hand.
Example: Hats, mittens, and scarves are in stock by November.
Uniqueness
Determines the extent to which the data for a set of columns is not repeated.
Example: The new product name must be unique (the same name cannot be in the product master table).
Enabling and Disabling Quality Dimensions
Administrators can enable or disable the Data Quality Dimensions feature within Admin. When the feature is enabled, users can associate dimensions with assets, view dimension-based reporting charts in the catalog, and filter asset search results by dimension. When disabled, these capabilities are hidden from users.
To enable the Data Quality Dimensions feature:
Ensure you are in the Admin section of the SKP
Or
Click Admin from the Syniti Applications menu.Click Quality Dimensions in the Business Settings section of the Admin menu.
Turn the Active toggle to the On position.
Working with Data Quality Dimensions
When the Data Quality Dimensions feature is enabled, users can:
Associate an enabled dimension to rules
Filter asset search results by Data Quality Dimension
View Data Quality Dimension charts in the catalog
Select a dimension chart to see all rules with that dimension assigned
Administrators have additional capabilities to manage dimensions, including the ability to enable or disable individual dimensions. When a dimension is disabled, it cannot be associated with new assets and will not appear in catalog charts or filter options. Any rules associated with the disabled dimension retain the association until updated to a new dimension, and the disabled dimension will display as inactive within the rule details.
Create a Quality Dimension
Administrators can create custom Data Quality Dimensions to supplement the system-provided dimensions and address specific organizational requirements.
Adding a Custom Dimension
To create a new Data Quality Dimension:
Ensure you are in the Admin section of the SKP
Or
Click Admin from the Syniti Applications menu.Click Quality Dimensions in the Business Settings section of the Admin menu.
Click the + icon to add a new dimension.
Provide a unique name for the dimension.
Note
All dimension names must be unique across both system-provided and custom dimensions.
Enter a description that clearly defines what the dimension measures.
Click Save.
Managing Custom Dimensions
Editing Dimensions
Administrators can edit existing custom dimensions to update their names or descriptions. System-provided dimensions cannot be edited to maintain consistency with industry standards.
Enabling and Disabling Dimensions
Individual dimensions can be enabled or disabled as needed. When enabled, a dimension can be associated with assets and appears in catalog charts. When disabled, it cannot be assigned to new assets and is shown as inactive. It cannot be assigned to a rule, but a rule’s disabled dimension can be updated to a new dimension.
Deleting Dimensions
Custom dimensions can be deleted if they are not currently associated with any assets. If a dimension is assigned to one or more assets, you will need to remove all associations before proceeding. System-provided dimensions cannot be deleted.