Rule & Decision Modeling

An integrated graphical editor provides an intuitive interface for defining and modifying business rules via drag-and-drop to respond to changing market conditions and customer needs.

• Express simple or complex rules naturally, using a variety of rule types such as flow rules, decision tables and stateflows.
• Reuse existing rules, data structures, services etc. from other models (also from projects and versions provided by different teams).
• Easily manage and navigate rule bases with large numbers of models, packages and individual rules through search, content assist, hyperlinks, dependency matrix and more.
• Export a complete set of model documentation.

Confirm that your rules are executing as expected by testing them with the click of a button – without the need for a completed application or separate test environment.

• Built-in model validation and test-driven quality assurance
• Model your test scenarios, test cases and expectations. No coding is required –  just drag-and-drop and assert expectations.
• Inspect test results and analyse how they each deviate from expected reference values
• Record and visualise test execution statistics and highlight execution paths
• Graphical step-by-step execution while inspecting the underlying data

Optimise and improve the decision quality of your rules over time through structural and impact analysis.

• Dependency charts make it easy to perform rule analysis and bring transparency into your rule tests.
• Data usage matrices allow you to visualise and analyse data dependencies in your rule models for further optimisation.
• Compare and merge different versions of your business rules graphically.
• To determine the best parameter set or the best model for ongoing decision making, any simulation scenario (e.g. Monte Carlo or Champion/Challenger) can be flexibly modelled via business rules.