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Stability and Performance: Users consistently commend the software for its exceptional stability and performance, citing instances where it facilitated swift deployment processes effectively without any glitches. For example, some users have mentioned how the software's robustness has been crucial in meeting tight project deadlines.
User-Friendly Interface: Reviewers appreciate the straightforward yet powerful web-based user interface, noting how it enables them to effortlessly update policies or rules with minimal effort. They have highlighted specific features like drag-and-drop functionality that enhance usability.
Business User Empowerment: Customers value the software's empowering features that allow business users to easily implement changes, ensuring up-to-date rules without the need for extensive technical knowledge. Some reviewers have shared success stories of non-technical staff making significant updates independently, showcasing the platform's accessibility and empowerment capabilities.

Simplified User Interface: Some users have suggested simplifying the user interface to improve usability, stating that the current design may be too complex for efficient navigation and task completion. They believe that a more intuitive and streamlined interface would enhance overall user experience.
Error Handling Improvement Needed: Users have expressed a need for better error handling within the software, mentioning instances where error messages were unclear or lacking guidance on issue resolution. They recommend implementing more informative error notifications to assist users in troubleshooting effectively.
Integration Support with Legacy Systems: Several users feel that integration support with legacy systems, requires improvement to facilitate smoother data flow and system compatibility. They emphasize the importance of seamless integration capabilities with older systems to ensure optimal performance and functionality.

IBM Operational Decision Manager is presented as a comprehensive decision automation solution that helps users discover, capture, analyze, automate and govern rules-based business decisions, on premises or on cloud. It is formerly known as the IBM Websphere Operational Decision Management, and before that as the ILOG JRules Business Rules Management System (BRMS).

IBM Operational Decision Manager

Business Rules Management Systems are software used to define and automate the deployment and execution of business rules, policies and requirements to be used in applications when they are acted upon. The BRMS contains a repository for retaining decision logic externally from core application code, a runtime environment to act on the business logic, and an interface allowing the users to define and manage business rules. The related Business Rules Engine executes business rules in a runtime environment.

Business Rules Management

IBM Operational Decision Manager on Cloud demonstration

IBM Operational Decision Manager on Cloud - overview demo

IBM Operational Decision Manager V8.5

IBM Operational Decision Manager and Watson Cognitive on Bluemix

Likelihood to Recommend

IBM is a global technology and innovation company headquartered in Armonk, NY.  It is one of the largest technology and consulting employers in the world, with approximately 427,000 employees serving clients in 170 countries. IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and advanced servers and supercomputers. Utilizing its business consulting, technology and R&amp;D expertise, IBM says it helps clients become "smarter" as the planet becomes more digitally interconnected. This includes working with organizations and governments to build systems that improve traffic congestion, availability of clean water, and the health and safety of populations. IBM invests more than $6 billion a year in R&amp;D, just completing its 18th year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame. The company was behind the inventions of the PC; SABRE travel reservation system; UPC codes, Watson, the Jeopardy!-playing computing system, and much more.

Microsoft 365

Meta Business Manager

WhatsApp Business

360dialog

Head Industry Institute Initiatives/Training and placement officer

IBM Operational Decision Manager 2022-04-20 07:12:33

Appian

Automation Anywhere

UiPath Document Understanding

Automation Anywhere IQ Bot, feature

RPA Sr Solution Architect

IBM Operational Decision Manager 2022-04-18 23:57:51

MuleSoft Anypoint Platform

Higson

IBM Operational Decision Manager 2022-04-18 19:39:43

UiPath Automation Platform

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IBM Operational Decision Manager 2022-04-18 20:06:40

IBM WebSphere Hybrid Edition

Apache Hive

IBM Integration Bus

Apache Kafka

IBM Operational Decision Manager 2019-02-28 20:11:44

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Cloud native

Not all features

Import and export

Legacy system

Third party

Graphical user

Third party software

Graphical user interface

Use interface

Not clear

Business users

Technical users

User friendly

Web based

Business rules

Create projects

Users to view

Local server

Know a lot

Provides users

Home

Business Rules Management Systems (BRMS)

IBM Operational Decision Manager helps in solving complex business decision making, creating and extracting data for decision making using the old databases to create logical decisions for the business process. Decision-making is crucial when it comes to solving crucial business issues. Timely decisions save a good amount of money and it adds to the bottom line of the company.

Business decisions.
Business analytics.
Software management.
Event management.
Logical execution.
Execution management.

Complex structure.
Usability
Graphical user interface.

Easy of decision making.
Reduction of complexification of important things.
Logical reasoning and rationale behind decisions.
Proper business management.

Can be little budget friendly.
Streamline various business processes.
Helping manage complex decision making scenarios.

Microsoft 365 (formerly Office 365), 360dialog WhatsApp Business API, Facebook Business Manager (formerly Pages Manager)

To change/build a business rule management system to easy to analyze logs, trace, and test. One of our use cases is very often business policy changes based on customer spending. Each month based on spending customer has to provide some benefits, hence translating those into business rules made easy with IBM Operational Decision Manager.

Converting business policy to business rule.
Intelligent and responsive automation decision.
Reduction of duplicated functionality.

Business rule application development available only in Java, .net, and Cobol.
Integration supports with legacy system need to be improved (Mainframe).
Migration to latest -version (iLog JRules to ODM).

Decision server rules and Decision center.
Rule Designer Logging.
Online community to troubleshoot/assist.

Appian, UiPath Document Understanding, Automation Anywhere IQ Bot

We used IBM Operations Decision Manager as a central repository to define, manage, deploy, execute and monitor business rules and decision logic. It also enabled business users to set up and modify rules for their department without depending on technical/IT teams to implement changes which resulted in better operational efficiency and outcomes.

Decision management for business users.
Business rule application development.
Managing Tasks and roles.

Compatibility with third party software.
Use interface can be simplified.
Better Error handling framework.

Rule Designer to authoring business rules logic.
Business rule applications development to meet organizational needs.
Develop event applications.

Improved Time to Market for new products.
Operational efficiency.
Cost savings in application maintenance.

We depend on IBM Operational Decision Manager (ODM) for a number of different applications and scenarios. A variety of applications where static/stateless rules, as well as decision tables, are required have been implemented using this technology. In addition to rule applications and decision services, there are rule sets, rulesets, and decision tables that may be created and configured by the company, and these are provided to applications via the usage of REST APIs.

Excellent stability and performance, as well as the possibility to deploy more quickly.
Simple but effective web-based user interface that enables us to make direct updates to our policies or rules.
Effective rule Execution Server, which allows us to assess the rules and their performance
After the rules are delivered, business users can make changes and keep them up to date without having to know a lot about technology.

Some of our needs lead to a new package for the product. It would be great if it could be changed like how the governance framework can be changed.
It is not really Cloud Native, and not all features and functionalities are accessible across deployment platforms.
There should be further support for developing models using the decision modeling notation (DMN). Businesses must be able to model their knowledge, and DMN provides a common method to do so.

Rules are straightforward to implement and maintain.
Comprehensible business language.
Simulation improves comprehension while reducing reliance on developers.

Rapid change enables firms to be adaptable.
Enhancements to the process of developing business rules for DBA applications.
We were able to provide out-of-hours support to mission-critical application users by assigning rules matching frequent issues clients were facing.

OneTrust, ProcessUnity Vendor Risk Management, UiPath Enterprise RPA Platform

IBM Operational Decision Manager (ODM) is used for several use cases. It is used on multiple applications where static/stateless rules are needed as well as decision tables. There are rule applications and decision services that have rules, rulesets and decision tables that the business can create and set up and they are exposed to applications through the use of REST API.

Provides users ability to define business objects and generates an execution object model behind the scenes so they don't have to worry about it.
It provides an English like rule language to define the rules.
It provides a Rule designer, an eclipse based IDE for technical users to create projects to have a decision service, rules, rulesets, etc, test it and deploy it on the server. You can use it on a local server or on a server environment to the RES runtime. It provides a context map that tells you what to do next and click on the icon or link to take you there and helps you finish the task. It is intuitive and user friendly.
It provides a Business console that can be used by non technical users or business users to view, edit and deploy the rules on the RES. They can also create versions and save it in the decision center.
It provides a way for users to define vocabulary so that the rules can use a user-friendly text instead of names of entity defined in the business object model.

There is some confusion for users as they have many different tools and consoles to use and write/edit rules. There is the rule designer, an enterprise console, a business console, etc and there is overlapping functionality between the consoles.
There needs to be support added for creating models using the decision modeling notation (DMN). Businesses need to be able to represent the knowledge using a model and DMN is a standard way of representing the information.
Also to be able to import and export models that have been created using DMN. There are tools that companies use to create DMN models and represent the business domain and logic. This tool needs to be able to import those models and provide execution runtime for the same.

It has a positive impact as it provides a great way to define business rules, execute them, update them, manage different versions of rules.
Depending on the complexity of the applications, you can have thousands of rules.
It provides a nice way to test the rules, run simulations with different scenarios, different scales of requests and verify the decisions, performance, etc., and that helps a lot.
Since the decisions can be exposed through REST interface, it makes it very convenient to integrate with different applications, applications using different technologies.
The Business console makes it easy for business users to be able to define, modify rules and not have to depend on IT to do a lot of that work. This helps in bringing the time to change and use the rules to be very short as well as lets IT do more IT related tasks and provide better value to the organization.

Drools and Red Hat Decision Manager (formerly JBoss BRMS)

Apache Kafka, Apache Hive, WebSphere Message Broker, WebSphere Application Server

IBM Operational Decision Manager

Overview

What is IBM Operational Decision Manager?