Defining data quality rules for data elements

Field	Description
Rule Template	Data quality rule template that defines the parameters of the rule that you want to run on the data element.
Sync with Rule Template	Syncs the rule occurrence with the specified rule template. When synced, the rule occurrence inherits parameters from the rule template. The rule occurrence score uses the technical rule reference, target, and threshold values from the template. Rule occurrence scores update according to the rule automation schedule in the template. When not synced, the rule occurrence is an independent asset. Template parameters don't affect it.
Name	Name of the rule occurrence.
Description	Description of the rule occurrence.
Reference ID	Unique identifier for the rule occurrence.
Dimension	Data quality dimension for which the data quality rule is run.
Measuring Method	Method by which the data quality rule for the rule occurrence is evaluated. This field can have one of the following values: - Business Extract. The rule is measured on data that is exported for a particular business case. - System Function. The rule is measured by a data quality system. - Technical Script. The rule is measured by a script that is manually run by an analyst. - Informatica Cloud Data Quality. The rule is measured by Informatica Cloud Data Quality. Note: If you select Informatica Cloud Data Quality as the measuring method, the Technical Rule Reference field is mandatory. This field is not mandatory for other measuring methods.
Primary Data Element	Data element where the data quality rule runs. This data element is the input port for the rule in the integrated data quality system. The system always generates the data quality score for the primary data element. To add a primary data element: aSelect a system asset or catalog source. bSelect a technical data set or business data set. cSelect data elements from the data set. If you do not enable the Data Quality option in Metadata Command Center for a catalog source, the options in this field are disabled. Editing the primary data element Whether you can edit the primary data element depends on how you created the rule occurrence: - Manually created rule occurrences: You can edit the primary data element until you run the rule occurrence for the first time. You can't edit it after the rule runs. - Rule occurrences from data profiling scorecards: You can add the primary data element when you associate the rule occurrence. You can't edit it after you add it. If you don't add a primary data element, no data quality score appears. - Auto-generated rule occurrences: You can't edit the primary data element. You can't edit the primary data element for auto-generated rule occurrences. Note: Ensure that the first four characters of the primary data element name don't contain the following special characters: comma (,), hyphen (-), semi-colon (;), backslash (\), single quote ('), double quotes ("), angle brackets (< and >), equal sign (=), parentheses ({ and }), braces (( and )), square brackets ([ and ]), and period (.)
Secondary Data Element	Secondary input port for the data quality rule that is run on the Primary Data Element. You can edit the secondary data element after the rule occurrence is created, but can't edit the element after the rule occurrence is executed.
Technical Rule Reference	Create a reference to a rule specification in the data quality application. You can create a new rule specification, or select from an existing rule specification. - To create a new rule specification in the data quality application, click Create a rule. Enter a description for the rule using natural language construction, and click View Recommendations. CLAIRE® reads the description that you enter and intelligently recommends a rule that it can create in the data quality application. To create rules that CLAIRE® can interpret, see Guidelines for entering rule descriptions. Note: If you want to use the Create a rule option, your organization administrator must enable the Enable CLAIRE Generative AI Services setting in Administrator. - To select from an existing rule specification in the data quality application, click Pick an existing rule. After you select a rule option, click OK to go back to the rule occurrence creation page. Note: If you select Data Quality as the measuring method, the Technical Rule Reference field is mandatory. This field is not mandatory for other measuring methods. When you manually create a rule occurrence, you can specify input parameters from multiple data elements. This evaluates asset quality based on multiple fields. For example, to validate a candidate's hire date, you can use two input parameters: hire date and date of birth. The system uses both parameters to calculate data quality scores. Input parameter mapping is mandatory for a data quality rule occurrence if you are using a multi input parameter rule from the integrated data quality system. Data quality scores are always reported on the primary data element. Map each rule input parameter to a unique data element. Make sure that at least one rule input parameter is mapped to a primary data element.
Criticality	Criticality of the rule occurrence. The value can be High, Medium, or Low.
Target	Minimum acceptable data quality value for the asset to be considered "Good." The target value is higher than the threshold value. For example, you can set the threshold value to 50 and the target value to 85.
Threshold	Minimum acceptable data quality value for the asset to be considered "Acceptable." The target value is higher than the threshold value. For example, you can set the threshold value to 50 and the target value to 85.
Frequency	Frequency of running the data quality rule that is defined by the rule template. - Select Daily to run the rule once in a day. - Select Weekly to run the rule once in a week. - Select Monthly to run the rule once in a month. The rule is run when you click Create.