IBM Operational Decision Manager vs. Pega Platform

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

Pega [RPA] is good to address a specific business function requirement with not too many bots or automation processes. It takes time and effort to set it up. Though once done, it is very easy to configure and use. One should also run a POC to verify if this product meets the scalability requirements.

Incentivized

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

Incentivized

• Reusability
• Pega’s Situational layer cake architecture is capable of organizing application to suit enterprise needs. An enterprise can have a complex organization structure located around the globe. Because of Situational layer cake architecture reusing common policies and procedures is easy while allowing for differences between products, regions, channels and customer segments.Whereas with some application development platforms, separate copies of the application should be created to suite different business context.
• Faster application delivery
• With Pega developers can reuse common policies and procedures, replicate functions and industry specific frameworks and utilize pega UI elements to develop applications. IT is easy to deploy.Therefore developers are capable of delivering application earlier compared to some application development platforms. Pega reduces time taken to deliver an outcome.
• Pega upgrades
• Pega platform is upddated to adapt and work with latest technologies.
• Proprietary users support and maintain Pega platform continuously. Pega customer support is always willing to enhance product support.

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

• Reporting is not extensive in Pega. Because of this higher management is not able to get the reports which will give them insights into a different area. So Reporting functionality can be improved in Pega.
• Organizations that want to fully use all the features of the Pega 7 platform must follow Pega’s solution development methodology which may not be aligned fully with the organization objectives.
• During upgrades, some of the rules which are deprecated have to be changed to new available rules. This becomes a problem as one has to understand all the functionality and then change a lot of things.

Incentivized

Pegasystems has continued to demonstrate a strong partnership with our organization and investment in their product that aligns with our overall vision and need. Pegasystems has engaged us at every level, with the assistance of minor defects to the overall roadmap planning and alignment of our goals

Pega Platform is enhancing its product and launching new features day by day which help to achieve customers needs. If I talk about the earlier version of Pega Platform (i.e. pega v5 and 6.3) there were many numbers of limitations in Pega Platform and if we need to do some customization then needed to write custom java and jave scripts to achieve the functionally. Now I can say Pega Platform is running with market trends and demand. Pega Platform is giving all the options which support the current technologies like decisioning capabilities, real time processing, mashup, process fabrics etc..

Incentivized

It’s very slow sometimes, but that may be our servers. Also the Knowledge Library needs some work - again, not sure if it’s our setup or what- but I’m unable to search the body of an article for content, so I have to be very intentional with tagging, but it’s not ideal.

Incentivized

The online training is an excellent one, but still it is missing hands on development.

Implementation is totally depend up on the requirement

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

We did evaluate multiple products offerings with Pega Platform capabilities and observed that Pega PRPC rules engine and case management capabilities are better over so many BPM Tools. We also conducted a detailed study with developers to identify the best products out of Suite of BPM products. It's observed that Rules engines integration is very streamlined with forms in Pega whereas other tools multiple have powerful data model capabilities but lacks the ease of creating business rules.

Incentivized

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

Incentivized

• Our company has boomed in the past few years because we of how we use Pega.
• We will get a project from a client and the turnaround will be so quick they will throw 3-4 more projects at us.
• Smaller developer teams means less complexity and less overhead.

Incentivized