Encontre o melhor notebook Asus para o seu dia a dia, dos modelos custo-benefício até avançados, para jogos e produtividade intensa Melhor notebook Asus: 9 modelos para comprar em 2026
Encontre o melhor notebook Asus para o seu dia a dia, dos modelos custo-benefício até avançados, para jogos e produtividade intensa Melhor notebook Asus: 9 modelos para comprar em 2026
Em contexto
- Tema: Datos y Analítica — Gobierno del dato, calidad, analítica y productos de datos.
- Fonte: Tecnoblog
- Publicado: 25/09/2026
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Trecho publicado automaticamente pelo radar do site. O texto completo pertence ao veículo e está vinculado acima.
Why it matters
In data, the problem is almost never the tool. It is that two areas mean different things by customer and neither wants to give ground. You can install the most modern platform on the market and still have three sales figures in the same meeting.
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
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
- 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.
- Which concrete decision changes because of this and who makes it: without that, it is one more dashboard.
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.
The original story is published in another language; the excerpt is quoted as the publisher delivers it and the commentary is written in English.
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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.
