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When websites need to collect information for decision-making based on user responses people often think of using rules to drive the sequence of questions. Rules simplify the complex logic often required to drive these interactions however, they don’t have a mechanism for interacting directly with the application UI. In addition, most rule engines are stateless so the state of the conversation with the user has to be persisted in data and passed back to the rule engine for each interaction. Read More »
Decision modeling helps you capture and document key business decisions that are made on a regular basis in your business. By discovering and documenting these decisions you can gain insight into what is driving your key business operations and you can begin to analyze, improve, and potentially automate these decisions. Read More »
Modeling and implementing regulatory requirements into operational systems can be slow and error-prone. Decision Modeling, following the Decision Model & Notation (DMN) standard improves requirements specifications for operational decisions by uncovering the business rules that define those decisions. In addition, it lends itself to the creation of testable requirements and test cases. Introducing real data to decision models allows you to uncover missing or implicit requirements and results in higher quality implementations and shorter project timescales. Read More »