✨Decision Intelligence vs Decision Management vs Decision Modeling
💥I've heard multiple times in recent week that these terms were used interchangeable. I believe I wrote about this before but let's revisit it again…
These are not the same concept; they are interrelated but different and NOT interchangeable.
🔹”Decision intelligence (DI) is a practical discipline that advances decision making by explicitly understanding and engineering how decisions are made and how outcomes are evaluated, managed and improved via feedback.” Gartner.
The Open Decision Intelligence Platforms are the tools helping organizations to implement and practice DI.
🔹”Decision Management” is a discipline that allows organizations to manage, govern, and optimize business decisions involving business rules and predictive models with the very specific focus on “business decisions”. Decision Intelligence is the convergence of multiple existing disciplines, such as data science, decision science, etc., and the tooling around them. As part of the evolution of “decisions” from the business rules branch, “Decision Management” became part of DI.
🔹In order to understand, manage, automate, and augment “business decisions” and especially to communicate them, a technique is needed to specify them with clarity and precision. These techniques are called “Decision Modeling.” There are many ways to do that, some better than others. Some are proprietary (based on vendor's tooling), some are based on open standards (Decision Model and Notation – DMN with Conformance Level 3), and some combine the best of both worlds (vendor's enhancement on DMN CL3), like Decision Graph!
Let’s continue the discussion in the comment 👇 How are you approaching Decision Intelligence in your field?
Posted here.
Published November 11th, 2024 at 07:30 am
