Frequently Asked Questions

How are decision requirements captured today?
Most business requirements center around processes and data. Rules (regulations, policies and 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. 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.
How is decision modeling used for data science projects?
For predictive analytics and data science projects, CRISP-DM and other methods stress the importance of business understanding but lack a repeatable, understandable format. Decision modeling fills this gap. 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.
How is decision modeling used for business rules projects?
For business rules projects, traditional rules analysis approaches capture many individual rules. Projects bog down in the rule analysis phase. Large numbers of low-level rules, often with multiple versions, quickly become hard to change and maintain. The best practice today is to begin with decision modeling. Decision modeling starts the analysis from a business, rather than an implementation or a data perspective.  Once defined, decisions can be specified in detail using rules and, potentially, analytics.
How is decision modeling used for BI and Reporting?
For business intelligence and reporting, many organizations are bogged down by reporting requests. Decision modeling focuses the business partner on the outcome of the request, reducing back-and-forth clarifications, improving collaboration and vastly improving turn-around times. Decision models are natural frameworks for dashboards, which are intended for data-driven decision making. A dashboard design based on a decision model provides a logical structure for going beyond information presentation to recommendations and predictions.
What is DMN?
DMN is the industry standard Decision Modeling and Notation, published by the Object Management Group. We are a co-submitter of the standard.
Who are you?
We are Decision Management Solutions, led by leading expert James Taylor. We are one of the most experienced decision management and decision modeling consultants and trainers in the world. Our approach and training are vendor neutral. We are a co-submitter of the DMN standard, a contributor to the BABOK® on decision modeling, and an IIBA Endorsed Education Provider.
Do you offer training?
Yes, please check out our training and workshops page.
More questions?
Please contact us if we haven't answered your question.

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