IBM Operational Decision Manager vs. SAS Business Rules Manager

IBM Operational Decision Manager can be used to manage complex business processes with less use of IT infrastructure and more use of centralized decision making. Decision-making depends on a logical framework and the creation of commands for better futuristic decisions with less time consumption and more precision and accuracy. IBM's Operational decision manager application is well suited for such scenarios where complex processes have to be streamlined.

Incentivized

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

Incentivized

• 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.

Incentivized

A lot of firms will have their own pseudo-rule engines that are tailored to the application, but adopting open source frameworks like Drools IBM Operational Decision Manager includes an English-like rule language, an IDE for defining vocabulary and rules, an easy interface for creating rule applications from scratch and deploying them, as well as tools for testing them locally, through API, and via simulations.

Incentivized

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

Incentivized