💥Dealing with data; access, preparation, transform, and consume in decision models is a big deal!
It is a make-or-break point. It controls the scalability of the decision automation and augmentation project.
It's the point where project growth slows down, teams need more resources, and everyone just walks around nervously waiting for the “data” to continue their work.
Decisioning team needs data to build and test their models.
This costs time, heavy upfront data work, and constant maintenance of new pipelines and engineering tasks.
Why?
â• To make data ready for decisions, you need to build ad hoc queries, pipeline, ETL, validation, linking, storage, and spend weeks (even months!) preparing for every change.
That's not the full story…
â• Then duplicating the data, or the queries and access to the data.
â• Keep adding new queries, running pipelines, updating for new requirements, or adding new fields and where clauses and adjusting types and values for new decisions.
These aren’t easy, quick, or one-off tasks. They are time-consuming, repetitive, and mostly not reusable.
As a result, you need people on the data team constantly supporting the decision automation project for every single decision model.
🚩 This is what slows down decision automation and augmentation. Not the actual decision modeling itself.
Alternatives? Separation of concerns.
🔷Fact Concept:
Semantic layer enables the team to build and test their models without worrying about actual data.
More than just models, Fact Concept tells the data team exactly what’s needed. No need to build 2,000 points on day one. Start with 10, then grow.
🔷Live Context™: A smart, safe, navigable access layer that knows how to get and shape data for any decision model.
It pulls what you need from wherever it lives, safely, reliably, and in a reusable structure.
🔹No ETL pipelines
🔹No data duplication
🔹No ad hoc data engineering
🔹No constant data change for decisions
✨Build the structure that provides the decision-ready context once, adjust as needed, reuse it across decisions, and Live Context™ will shape and form your data the way the decision needs it, on-the-fly.
🚀 Scaling Decision Intelligence (DI) project can be done, when you use
🔹Decision Modeling and Notation with Conformance Level 3 for Modeling & Execution
🔹Fact Concept to separate the need for data from the decision modeling and testing
🔹Live Context™ to make reusable, navigable, lazy loaded and safe data access on-the-fly based on what Fact Concept dictates. The decision-ready context.
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Published November 28th, 2025 at 07:30 am
