IBM Decision Manager Open Edition vs. Progress Corticon Business Rules Engine

Red Hat Decision Manager is well suited for developing a microservices-based application architecture where reusable components / APIs can be used across different end-user applications. It however may not be well suited for use cases where business users need low code / no-code environment to maintain business rules themselves without any developer / IT team support

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Suited for any place where complex business rules need to be separated for ease of flexibility.

• Business rule management for filtering the candidate
• Automate the possible decision making which reduces the time and increase the productivity
• Whenever business rule changes based on the client requirement.

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• Handle complex business rules.
• Test different scenarios after changes have been made.
• Allow for version control and auditing of queries and responses.

• It should be easy to use because it needs more knowledge
• You should be trained to your partner well
• Well Documentations are needed

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• The UI could be made more appealing.

Red Hat Decision Manager can be scaled and adapted to meet the automation needs of the organization as it grows by reusing the components and business rules data which provides a high ROI on the renewal costs.

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Implementation phase is very difficult .Of course ,you need to know bunch of things about cloud,container,automatization

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The support for Red Hat decision Manager can be improved to be more omnichannel with better response times for the customers.

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For high volume and / or complex set of legacy business rules, plan for adequate time for data migration activities.

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If you have a low budget to invest probably JBoss BRMS is the option for you, if your budget is not restricted you'll probably like to consider Bizagi

Corticon is way easier and allows for testing.

• Quickly write business rules
• Computers can take decision
• Complex event processing

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• It has definitely had a positive ROI. Instead of having developers try to figure out these complex rules and how to code them in a flexible way, we now have business analysts using Corticon.