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 used and what knowledge assets (policies, regulations, best practices) are involved.
  • Decision tables specify the logic for most of the decisions on the diagram using simple constructs.”

It certainly leaves the most complex DMN components such as “boxed expressions” out of the DMN core. James even adds: “frankly most decision tables look and work the same even if they don’t support DMN yet.”  Agree? Disagree? What does constitute the DMN Core in your opinion? Leave your comments here.

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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 “What’s Next” thoughts from the top BPM experts accumulated in this article. Here are a few teasers: Continue reading

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The Rules of Happiness

Silvie Spreeuwenberg: “Most people are happy most of the time but do not think, write down or analyse all the good things that make them happy every day. Our tendency is to stress, analyse and act based on negative events. So use this tendency to the contrary with the rules of happiness“. You may find the rules here

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Is Bigger Better?

It is highly likely that the next wave of innovation in new technologies and new companies will happen right under the noses of big companies operating at what the public markets think of as peak (earnings) potential. What is the best way to enter the market when the big companies seem so…big as they do today? Read more

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Deep Learning Sharpens Views of Cells and Genes

Eyes are said to be the window to the soul—but researchers at Google see them as indicators of a person’s health. The technology giant is using deep learning to predict a person’s blood pressure, age and smoking status by analysing a photograph of their retina. Google’s computers glean clues from the arrangement of blood vessels—and a preliminary study suggests that the machines can use this information to predict whether someone is at risk of an impending heart attack.” Read more

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Best Challenges/Solutions of 2017: Poll Results

We received 91 votes for our 2017 Community poll. The challenges/solutions which collected the most votes are presented in the following table:

As all votes were anonymous, it’s hard to tell how objective these results are: we do not know if voters selected certain decision models over others by actually comparing the models or by “voting for friends” with no comments. In 2018 we plan to select a small group of well-known DM experts, and ask them to compare all solutions for 2018 challenges and explain their reasons for selecting the winners.

If you have decision modeling problems to be published as new DM Challenges, please send them to decisionmanagementcommunity@gmail.com.

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Poll: Vote for Best Challenges/Solutions of 2017

The following poll lists all six Decision Management challenges and their multiple solutions published in 2017. Please select up to 6 best solutions for the challenges you like. The winners will be those 3 challenges/solutions which receive the most votes across all 6 challenges. The poll will be opened until January 7, 2018. We will announce  the winners on January 8, 2018. Continue reading

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