More teams are running their dbt transformations on Databricks Lakehouse: an open...
More teams are running their dbt transformations on Databricks Lakehouse: an open...
In context
- Topic: Datos y Analítica — Gobierno del dato, calidad, analítica y productos de datos.
- Source: Databricks
- Published: 06/10/2026
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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
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.
My criterion is that data only helps if it arrives in time for the decision it is meant to support. A perfect report that lands on the eighth for a decision taken on the third is a useless report, however correct it is. Timeliness beats precision more often than people admit.
What usually goes wrong
Where it usually breaks is capture. A lot gets invested in processing and nothing at the point where a person fills in the form, in a hurry, with no validation and no idea what it is for. No model fixes data that was born wrong; it only propagates it with more authority.
What to watch
- 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.
- Whether definitions are agreed across areas or each one brings its own to the meeting.
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.
