⛔Avoid the pitfalls of decision modeling as they are costly to everyone, business and technology.
There are many ways to model decisions.
You may say it depends, and to some extent it is correct.
But when it comes to Decision Intelligence framework that specifically deals with “business decisions” the criteria are clearer.
✨So, to clarify, the business decisions:
* Are about specific functions of business operation
* Their owners are business groups (SMEs, Operations, Managers, etc.)
* The target audiences in communication likely have no coding or programming skills
Now, with these criteria in mind, we need to make sure the models for business decisions resonate with them, address their problems, and, most importantly, enable them to make and execute business decisions.
🚩Right off the bat the coding approach (Python, Java, etc.) is off the table simply because not everyone in that group is technically savvy. data datascientist
The other option is a diagramming technique, which does not need programming knowledge, but if we get it wrong, we introduce more issues.
How does it look like an effective decision model that communicates to the business group and accurately specifies decisions?
🔹Business-friendly language
🔹Clear decision logic
🔹Flexible and adaptable
🔹Visual representation
🔹Transparent and explainable
🔹Executable
💥But not all the options satisfy 👆above are the right answer.
💣So, the question is, what is the right technique for modeling business decisions, and what pitfalls should be avoided?
To learn more please read the article at https://lnkd.in/g9NQ8R_F
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Published November 27th, 2024 at 07:30 am
