iConsole Review Queue Guide › Metric Definitions › Metric Definition

Metric Definition

There are four distinct metric categories, defined on a per group basis, with subgroups overriding or inheriting the metric from the parent.

The purpose of the metric is to calculate an absolute number to be applied to the specified Data Target. This number is calculated using combination(s) of Metric Value, Metric Type and Metric Target. See below for attribute definitions.

The following attributes define a metric:

Metric Category

The category of the metric. The allowable values are:

0 Main Selection metric

1 Under Subscription metric

2 Over Subscription metric

3 Mandatory metric

Metric Value

The numeric value of the metric. The allowable values are:

Any positive number

Metric Type

Used to determine if the metric is to be interpreted as an absolute value or percentage. The allowable values are:

0 Percentage

1 Absolute

Metric Target

Used to determine which data set classification is used to calculate the runtime value of the metric. The allowable values are:

A Type A data

P Type P data

X Type X data

Data Target

Used to define which data set the metric is applied to at runtime. The allowable values are:

A Type A data

P Type P data

X Type X data

Data Grouping

Flag to indicate whether the metric should be calculated at data grouping level.

Group Identifier(GroupIDM,GroupID)

The CA DataMinder user group to which the metric is applied.

Process

The Review Queue process number to which the metric belongs, the default is process number 1.