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Until the data becomes public, its value will be limited.
Generally, confidence levels increase as more data becomes available.
And this is where big data becomes dangerous.
As more data becomes available, the numbers often get revised substantially.
The idea arrives as big data becomes an area of focus in agriculture.
At different times in history and the economic cycle, particular data becomes more or less important.
There's always a concern when personal data becomes an asset to be bought and sold.
The machine learns where the best clusters are and can even move the boundaries as more data becomes available.
But those numbers are subject to heavy revision as better data becomes available.
But the danger is when data becomes prescriptive, because that fails to acknowledge what influences trends.
The revised numbers also reflect some better information as new data becomes available.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com