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.
Watch thus recorded one hour webinar, presented by industry experts, Pavle Ninkovic, from Tripple Consulting, and Clive Riddle, from MPI Europe, to learn how modeling regulatory requirements and introducing data to test and validate the decision model using Sparkling Logic can uncover issues earlier and accelerate project time-to-value.