DMCommunity Challenge April-2018 “Up-Selling Rules”

In this post we will provide a response to the DMCommunity.org Apr-2018 Challenge “Up-Selling Rules  that deals with two decision tables: 1) up-selling rules that offer new products to a customer based on the customer profile and the products which the customer already has; 2) customer profiling rules. We will use for the first time the latest OpenRules version (not released yet to public) that removes a need for ordering of multiple decision tables.  Continue reading

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DMCommunity Challenge Feb-2018

There are two interesting responses to the DMCommunity.org Feb-2018 Challenge provided by Mike Parish and Bob Moore. Mike effectively used Corticon to validate and fix incompleteness, redundancy, and ambiguity problems he found in the following, relatively simple decision table: Continue reading

Introducing DMN to Business Analysts in 15 Minutes

Last year BBC-2017 organizers gave me 20 minutes to introduce DMN to business analysts at the “Technology Theater”, an open space in the Expo hall. Based on the positive feedback from people who attended my presentation, I decided to share it with more people.  You may look at my slides in the PDF format. Below I will describe an example I believe  is very useful to introduce major DMN concepts in 15 minutes. Continue reading

OpenRules Solution for the Christmas Challenge

DMCommunity.org offered a new Dec-2017 Challenge called “Reindeer Ordering“. It has a nice Christmas formulation:
Santa always leaves plans for his elves to determine the order in which the reindeer will pull his sleigh. This year, for the European leg of his journey, his elves are working to the following schedule, which will form a single line of nine reindeer. Here are the rules: Continue reading

Decision Modeling: LEGO Style

Recently I helped one of our larger customers to build a set of their business decision models. At the end I said that now they can continue to assemble new decision models themselves. Then one of their business analysts said that our decision modeling approach reminds him of LEGO. I believe this is a really good analogy and I will elaborate on it using specific examples.

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