When building AI prototypes, developers naturally want to get up and running as fast as possible. But move too fast, The post Your database decision could come back to haunt you appeared first on The New Stack.
When building AI prototypes, developers naturally want to get up and running as fast as possible. But move too fast, The post Your database decision could come back to haunt you appeared first on The New Stack.
In context
- Topic: Datos y Analítica — Gobierno del dato, calidad, analítica y productos de datos.
- Source: The New Stack
- Published: 14/10/2026
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Why it matters
A beautiful dashboard can hide a bad number for months. That is why I distrust stories about visualisation that say nothing about governance: the expensive part is not displaying the number, it is guaranteeing the number means the same thing on Tuesday as on Thursday.
I look at lineage before I look at the chart: where each number comes from, who can change it, and what happens if the source system goes down. If nobody can walk that chain in two minutes, the dashboard is displaying confidence it did not earn.
What usually goes wrong
What I see fail most is dashboard maintenance. It gets built carefully, used for three months, and then a business rule changes that nobody told the data team about. The number still comes out, it no longer means the same thing, and decisions keep being made on data that became false.
What to watch
- 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.
- Who answers for the quality of the indicator when somebody challenges it in a committee.
How I read this entry
I would use it to review the full cycle, from where the data is captured to where somebody acts. The problem is almost never in the analytics but at the start: someone filling a field by hand, with no validation, in a hurry, not knowing what it is used for later.
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.
