8d • 💬 General
Most data problems aren’t technical — they’re conceptual
When something breaks, teams usually blame:
the dashboard,
the pipeline,
or the model.
But most data problems start much earlier.
They start with unclear thinking.
If you don’t know what decision the data is meant to support, no amount of cleaning or modeling will save you.
The best data teams work in this order:
- Define the decision that matters
- Identify the signal that influences it
- Ignore everything else
That’s the core of data alchemy.
Not collecting everything .
Not modeling everything. But reducing complexity until truth appears.
AI makes computation cheap.
Clarity is still expensive.
And that’s why good judgment — not better tooling —remains the true edge in intelligent systems.
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Most data problems aren’t technical — they’re conceptual
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