Category Archives: Decision Modeling

Strange Feelings about DMN FEEL

In Sep-2017 Keith Swenson who leads the efforts around DMN TCK, shared an interesting  post titled “A Strange FEELing about Dates“. In particular, he wrote: “The new expression language for Decision Model and Notation standard is called the Friendly Enough Expression Language (FEEL).  … Continue reading

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Explainable Decisions

Majority of decision modeling experts agree that decision models producing business decisions should be able to explain why these decisions were made. Silvie Spreeuwenberg even wrote that “Advice Without Explanation Is Not Very Intelligent“. Tomorrow FICO will run a special … Continue reading

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Sales Promotions – After Challenge Discussion

While it is certainly possible to define database structures to represent sales promotions it may be better to use rules or decision tables to support the wide variety and frequent change that seems to occur in the real world. Continue reading

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Decision Model for Order Promotions

Our Jan-2018 Challenge deals with a popular business decision problem:  help merchants to define various promotions for their sales orders and to automatically decide which orders are eligible to which promotions. A simple example of promotion: reduce the total cost of … Continue reading

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Core DMN Components

According to James Taylor, “The vast majority of the business logic in a decisioning system can be defined using the two core DMN components: Decision Requirements Diagrams structure decision problems, break them into coherent pieces. They show where data is … Continue reading

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BPM 2018 Predictions from Top Influencers

Today the term “BPM” hardly represents a pure Business Process Management as along with process automation it is trying to cover decision management, case management, digital transformation, and even machine learning and blockchain. So, it is especially interesting to read … Continue reading

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How to Succeed with AI: James Taylor’s advice

James Taylor just published a new post about AI: “AI is a decision-making technology. As such it is a powerful complement to Decision Management – something to be considered alongside business rules and analytics, and integrated into a coherent decision model. ” To … Continue reading

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