ILOG Rule Studio Scorecard Modeler focuses on operational activities, providing more flexibility for the source of the predictive analytics as input to the scorecard.
| Feature |
Feature Description |
Benefit |
| Scorecard and attribute model wizards |
Assists development and management with:
- An option for weighted sum or summation
- The option to use reasoning support
- The ability to use the attribute wizard to select and create characteristics from the business object model (BOM)
|
Ease of development and management |
| Reasoning support |
Out of the box reasoning strategy that can be based on:
- Deviation of maximum score
- Deviation of expected score
- Deviation of the priority of reasons (The maximum
number of reason codes to be returned is configurable)
|
Increased control and auditability over how decisions are rendered |
| Multiple scoring strategies |
Out-of-the-box scoring strategies assist speed to market and ease of implementation:
- The weighted sum scoring strategy can be associated with an attribute; the final score is calculated as the summation of the weights that multiply attribute scores.
- The sum scoring strategy provides the final score. It is the summation of the assigned scores from all attributes.
- The option to use a custom scoring strategy can be integrated and implemented in Java code.
|
Increased and fine-grained control over decision logic |
| Complex (nested) scorecard support |
Scorecards can be included in a complex, or nested, scorecard. This is useful when the reasoning strategy involves multiple scorecards in a decision flow: Complex scorecards provide a global reasoning solution and manage the reasons contributed from each scorecard.
|
The ability to create multiple scorecards in a decision flow for enhanced efficiency |
| Testable model |
Support for end-to-end testing: It provides the ability to test scorecards and surrounding decision logic. |
Increased accuracy and auditability |
