Is this the JEV killer? The post A Practical Guide to OpenAI's New Decisions API appeared first on Towards Data Science.
Is this the JEV killer? The post A Practical Guide to OpenAI's New Decisions API appeared first on Towards Data Science.
In context
- Topic: Datos y Analítica — Gobierno del dato, calidad, analítica y productos de datos.
- Source: Towards Data Science
- Published: 11/10/2026
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Excerpt published automatically by the site radar. The full text belongs to its publisher and is linked above.
Why it matters
What gives data value is not having it, it is somebody changing a decision because of it. It sounds obvious and it is the test most projects fail: the report gets built, gets published, nobody changes anything, and six months later the project is recorded as a success because it shipped on time.
When I assess a data initiative, the first question is which concrete decision gets made with this and who makes it. If the answer is that it provides visibility, I already know the dashboard will be abandoned within a year. Visibility is not an objective, it is a side effect.
What usually goes wrong
The frequent mistake is starting with the tool instead of the question. The platform gets bought, everything gets connected, and only then does somebody sit down to think about what they wanted to know. It almost always turns out the important question needed data nobody was capturing.
What to watch
- Whether definitions are agreed across areas or each one brings its own to the meeting.
- Where the data comes from and what happens when the source system changes or fails.
- When the number arrives relative to when the decision is taken, which is what defines its usefulness.
How I read this entry
If this reached an organisation, I would start by agreeing ten definitions rather than a hundred: what an active customer is, what a sale is, when it counts. Written, signed and published. It is a week of uncomfortable argument that saves two years of meetings where nobody agrees.
This entry is an excerpt from the original source, selected by the site radar. The commentary above is the site's own and does not belong to the cited publisher.
Comments
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Living through this in your own team?
Open the chat and tell me how you're handling it. I'm interested in comparing notes.
