Managing Data Quality Dimensions
This topic describes how to manage dimensions in the Configuration tab, Dimensions section. The following instructions assume that you have associated at least one test rule with a dimension.
For information about associating test rules with a dimension, see Managing Rules from Rules Tab. Or, see the test rule Dimension property for the following rules that support dimensions: Assert, CompareToConstant, FuzzyMatch, IsNotBlank, IsNotDuplicate, IsNotNull, InRange, MatchesRegex, RemoveDuplicates and RemoveDuplicatesFuzzyMatching.
For information about viewing profile execution results, see Viewing Statistics.
Note: Changes made to rule dimensions and weights the Configuration tab, Dimensions section are reflected in the Rules tab.
In the data profile file, go to the Configuration tab and expand the Dimensions section. The Dimension and Rules are displayed in a tree view. In this tree view interface, use the right arrow to collapse a branch (close it) and the down arrow to expand a branch (open it).
You can drag and drop rules into and out of dimensions. You can also right-click on a rule to move it, or Delete it (which deletes its association with the dimension and moves the rule into -No Dimension-. Changes are reflected for the rule in the Rules tab.
Additionally, you can use the toolbar as follows:
Icons | Description |
|---|---|
 | Deletes the association of the dimension with the rule, and the rule is moved out of the dimension and into -No Dimension-. Changes are reflected for the rule in the Rules tab and the Configuration tab. |
 | Allows reordering rules by moving them up and down. One or both the buttons are disabled if moving the rule up or down is not permitted. See Reorder Rules. |
Manage dimensions and rules also using the following options:
Option | Description |
|---|---|
Dimension | The -No Dimension- folder, followed by folders for each of the six dimensions are displayed in a tree format. The -No Dimension- folder contains rules that are not assigned to a dimension (it is not a dimension). Each dimension represents a characteristic of quality data. Expand a dimension to view the rule(s) associated with it. If no test rules are associated with a dimension, the dimension is empty. Expand the folder to view a list of all rules not associated with a dimension. (Execution results for rules listed in this folder are not reflected in the Data Quality Index score.) There is no limit to the number of rules associated with a dimension. However, a rule can only be associated with a single dimension. Dimensions are: • Accuracy - The data is correct. • Completeness - The data is present. • Consistency - The data uses the same format or pattern across different sources. • Timeliness - The data is recent and available. • Uniqueness - The data is not duplicated. • Validity - The data conforms to business rules and is within an acceptable range. |
Weight | The user-assigned importance of the rule. Values are 1-5, where 5 is the most important. The default is 1. These values are reflected in the Dimension Score and Data Quality Index (DQI) scores. If no weights are assigned, all rules are equally weighted in the final scores (using the default weight of 1). Changes are reflected in the Rules tab. See How Data Quality Dimension Scores are Calculated. |
Save and execute the profile. View results in the Statistics tab. See Viewing Statistics.
Tip... To undo the dimension configuration, remove all rules out of dimensions and into the -No Dimension- folder.
Last modified date: 01/08/2026