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For the design guide on how to model logic see Decision Management guide.
A data rule is an inference rule that uses a data source (CSV resource) to derive one or more attribute values.
A data rule derives the value of one or more attributes of one and the same entity based on a data set and some given criteria. The data source can be external, i.e. placed on the server, or it can be stored directly in your Blueriq Encore model.
| Property | Description |
|---|---|
| Resource | The object that holds either a reference to an external CSV file or the data of an imported CSV file itself. |
| Target entity | All collected data must be stored in attributes of the same target entity. |
| Justification asset | The Justification asset contains an explanation behind the logic that is used in the data rule. |
| Criterea | Criterea are used for selection of records. A criterion consists of a comparator and an expression (compared value). It’s possible to specify more than one criterion per column. |
| Goal | The goals are the goal entity’s attributes that will be mapped from the column’s values. |
| Only records that match all criteria will be selected in the data rule. |
How to use a data rule to derive attribute values