BPMN stands for Business Process Modeling and Notation and is a diagramming language used to model business processes. Its goal is to make process models more understandable by humans as well as machines.
The notation includes shapes representing specific functions within an organization, such as tasks, systems, or organizational units. DMN stands for Decision Modeling and Notation which creates a graphical representation of data structures (elements) and their relations through various graphs.
Besides, it’s also vital that the DMN is coupled with BPMN, so these two partners can share data. Moreover, a well-defined model will help those who interact with or collaborate on processes understand what they need to do and when they need to perform their tasks.
So, let’s understand why it’s essential to pair your BPMN with DMN.
Streamlined business process
A process model and decision modeling simplify business processes by eliminating entire process sections with a decision model. Decision logic in this separate yet linked model replicates precisely what is happening in the original, detailed one, making it easier to understand for all parties involved.
Process models simplify tasks by eliminating unnecessary gateways and scripting activities that complicate the job process as a company employee or manager. Apart from this, decision modeling works in tandem with this system because it captures all logic for decisions from start to finish. This way, you can read through less complicated text while still getting what’s going on.
It also links back into an organization’s workflow management software when necessary, making everything even more innovative than before. Furthermore, a combination of process modeling and decision modeling creates better efficiency in all businesses, whether large corporations or small-scale companies.
Focused discovery process
It’s essential to take a structured approach when developing requirements. Decision models are an integral part of this process and can help organizations complete projects efficiently by linking tasks with their required business rules.
Moreover, by focusing on decisions independently from processes, individual decision-making becomes more focused and efficient. Often, different stakeholders are involved in the process, so a separate model often works best. Also, separate models provide simpler decision-making activities that help track the tasks to be completed next.
This is possible because they link directly into critical business rules and crucial organization metrics such as revenue or profitability. This step improves efficiency by simplifying modeling practices without sacrificing any accuracy needed when building out your product roadmap ahead of time.
DMN structures and manages the business rules that a process requires, providing an easy way to connect multiple decision points in one coherent model. Further, this simplifies change management by ensuring you’re always working with the right set of decisions for any given step on your journey.
You can also avail of cloud-based services that make it possible to make business decisions from any location or device. One fine example of this service is the Cloud Decision Engine.
So, what does it exactly do?
Cloud decision engine centrally processes data into fast, secure, and scalable reports and dashboards about key business metrics. With this, you’ll be able to do things like downloading, analyzing, and sharing reports across the enterprise in 2 minutes or less.
Cloud decision engines have four key features:
- They provide self-service, an intuitive graphical interface for analysts and business users.
- They automatically integrate the first three intelligence pieces, giving full and easy access to all relevant information.
- They eliminate maintenance by using machine learning models that learn continuously.
- They maintain models without human intervention while resisting manual revisions.
In this system, rules are positioned for success, independent of location within your workflow, as DMN connects them back to important metrics like revenue or cost savings. In addition, this gives organizations insight into what’s happening at every stage of development while still making sure they have more control over how it all unfolds.
DMN provides a decision-making model in a process, which allows the impact of analytic models to be clearly expressed. As a result, this allows increasingly advanced analytics to be integrated into an organization’s day-to-day operations.
Also, the decision model’s flexibility allows for more advanced analytic models to be used in any analysis stage, from business intelligence to predictive modeling.
So, if you want to get the most out of your decision-making process and avoid being stuck in analysis paralysis, it’s time to start using a Decision Engine. Start by mapping out all of your business processes with DMN so that you can see where they overlap. Then import those into BPMN for better visualization and more robust data modeling capabilities.
Founder Dinis Guarda
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