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Value Metrics

A value metric evaluates an attribute value and generates a metric score based on the result.

Configuration

To configure a value metric, open the editor for the desired metric object, and from the dropdown select Standard Value Metric.

A number of configuration options are available for value metrics.

1. Attribute - In this field, select the attribute to evaluate.

Note: The chosen attribute must be single value only, and must either be a simple numeric value, a text value, an LOV value, or a calculated value. Attempting to configure an attribute that does not comply with these requirements will result in an error.

2. Data container types (Optional) - If desired, a data container type can be included in the evaluation.
3. No value score - If there is no value for this attribute, then it returns the specified point value.
4. Other value score - If there are any values besides those listed in the Mapped value scores parameter, it will return this score.
5. Mapped value scores (Optional) - This field allows for mapping specific values to specific scores.

Select 'Save,' and the metric is ready to be used in a data profile or with data policies. To create a policy, start with the configuration of a dataset definition, as described in the Creating a Dataset Definition topic of this documentation here.

On the Completeness Metric tab, in the Configuration area, you can view the configuration settings.

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