OpenRules was well presented at the major technical business decision management event DecisionCAMP-2018. Here are the presentations directly related to OpenRules:
I also published a paper “Building and Analyzing Goal-Oriented Decision Models” at the Proceedings of the RuleML+RR 2018 Challenge – it explains our goal-oriented approach to decision modeling using a Credit Card Application decision model. In my closing notes I tried to demonstrate how a smarter decision engine can simplify decision modeling using concrete examples from DMCommunity.org challenges. After considering different decision modeling approaches, we will add these capabilities to standard OpenRules features.
The July’s challenge “Zoo, Buses, and Kids” deals with a very simple optimization problem:
“300 kids need to travel to the London zoo. The school may rent 40 seats and 30 seats buses for 500£ and 400£. How many buses of each to minimize cost?”
Naturally, a constraint solver nicely and easily solves this and more complex constraint satisfaction problems as shown in Philippe Laborie’s solution. When today I saw a pure SQL solution provided by Damir Sudarevic, I thought that it’s time to model this problem as a business decision model. It would not be as compact as provided solutions, but it should be oriented to business users. Continue reading
Prof. Gene Freuder wrote a position paper “Complete Explanations” for The Second Workshop on Progress Towards the Holy Grail that will be held on Aug 27, 2018 during CP 2018 in Lille, France. Gene writes: “As AI becomes more ubiquitous there is a renewed interest in computers being able to provide explanations, and the European GPDR provides special impetus.” Geen’s paper concentrates on constraint satisfaction problems (CSPs), but, as I’d shown in my 2016 paper, we may consider a decision model as a CSP, and everything Gene is talking about directly applies to business decision modeling. Continue reading
The major Release 7.0.0 is making OpenRules even more user-friendly without losing any of the sophistication of already proven decision modeling technology. Our customers don’t have anymore to define an execution sequence of their decision tables in special tables of the type “Decision” – these tables can be automatically generated. Now it is sufficient for a human decision modeler to define only Glossary and Decision Tables that specify business logic for all included goals and subgoals. Then for any selected business goal, OpenRules Engine will execute all related decision tables in an automatically calculated order to determine the goal’s value. You may watch this short video that uses simple examples to explain the goal-oriented approach to decision modeling supported by OpenRules-7. Continue reading
People who started decision modeling standardization years ago were all agreed that the DMN standard is supposed to be oriented to subject matter experts, should be simple, friendly enough while powerful to cover the common denominator in operational decision modeling. It was a good start for DMN in 2013 and an enthusiastic acceptance since then. However, today DMN is full of complex, programmer-oriented features which seem to get even more complex in new releases. There are plenty examples of unnecessary complexity being proudly promoted for their “elegance”. Here are a few examples to compare. Continue reading
The latest June-2018 DMCommunity Challenge”Credit Card Application” gives me a good chance to demonstrate the new upcoming OpenRules Release 7.0.0. I remember that Nick Broom was one of the first who published a real-world decision model right after the DMN introduction. I also remember that at the same day I implemented and published Nick’s model using only Excel and OpenRules available at that time (it was release 6.2.6). It would be interesting to compare this old implementation with a new one below that takes advantages of new OpenRules-7. Continue reading
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
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
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
DMCommunity.org Jan-2018 Challenge is looking for a decision model that can define promotions for different sales orders. It provides a simple example of promotion: reduce the total cost of the order by $3.50 if it contains at least 5 items 1108 and 4 item 2639. Let’s build the proper decision model. Continue reading
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
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.