Decision Modeling with DMN

Most business requirements center around processes and data. Knowledge, expertise, and predictive analytics are typically shoehorned into a process or data definition. This leads to solutions that quickly become complex and hard to change.

For business rules projects, rules analysis approaches tend to capture many individual rules. This results in large numbers of low-level rules, often with multiple versions, that quickly become hard to change and maintain.

For predictive analytics projects, CRISP-DM and other methods stress the importance of business understanding but lack a repeatable, understandable format.

Decision modeling using the Decision Model and Notation (DMN) standard results in a clear business target, as well as an understanding of how the results will be used and deployed, and by whom.

Using existing tools and technologies to capture decision requirements is an exercise in frustration. Tying decision-making to business results is ad-hoc at best. Documenting process designs, use cases, requirements and business rules results in incomplete, disconnected and superficial models of decision-making. Only decision modeling empowers you to truly drive digital processes for transformative operational efficiency gains.

We are one of the most experienced decision management and decision modeling consultants and trainers in the world. Many of our clients use our decision modeling software DecisionsFirst Modeler and many do not – our approach and training are vendor neutral. We are a co-submitter of the DMN standard, and contributor to the BABOK® on decision modeling, and an IIBA Endorsed Education Provider.

What people are saying about Decision Modeling:

“Decision modeling enables us to model our business by dividing it into concrete parts that are understandable to business people without being too detailed. It also helps us not to lose sight of the overall picture of the process while delving deep into the details of business rules.”
“This is the critical path to monetizing advanced predictive analytics models.”

“I have been modeling several taxation areas and defining their requirements for more than 10 years with Finnish Tax Administration. During this time I have created dozens of different models such as process charts, flowcharts and use case models. All these models have needed plenty of effort and both calendar and working time.

Against this background, I am truly amazed by decision modeling. This method gives me an agile tool for modeling quite complicated domains. Furthermore it only takes a couple of short workshops to draw a decision model. The notation is very simple, which gives the specialists the opportunity to focus on the contents instead of trying to understand the notation. Because of the simplified notation decision modeling is also a powerful tool for supporting discussions, orientation and presentations for different audiences – even the top management.”

"An effective way to get more understanding of a problem prior to data mining."