Skip to main content

Risk Scoring Model Data Model

The Risk Scoring Model data model defines how to compute base risk score, risk score, and risk rating for a data model. It extends the One to one cluster model data model.

The following table details the default attributes of the Risk Scoring Model data model:

OrderAttribute NameAttribute TypeRelationship TypeRequired
1presetSingle ChoiceN/AYes
2aggregationSingle ChoiceN/ANo
4includeRiskFactorsTrue FalseN/ANo
5uidUnique IdentifierN/AYes
7activeTrue FalseN/AYes
8descriptionText AreaN/ANo
9conditionsCluster conditionsN/ANo
10totalCalculated (Number)N/ANo
11defaultClusterTrue FalseN/ANo
13sourcesReference (Base model)SOURCED_FROMNo
14dateCreatedDate TimeN/ANo
15lastUpdatedDate TimeN/ANo
  • The Order column specifies the order of attributes being calculated in data computation.
  • The attribute names are used in Brinqa Query Language (BQL) queries and Brinqa Condition Language (BCL) predicates.
  • In the Type column, Calculated means that the value of the attribute is computed by executing a script. The text in the parentheses after Calculated denotes the type of the outcome.
  • In the Type column, Reference means that two data models are related. The name in the parentheses after Reference indicates the other data model.
  • The Relationship Type column only applies to the Reference type attributes. You can use the relationship type keyword in BQL queries.