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" "not everything that is 'risky' is dangerous ...
and not everything that is dangerous is 'risky'.
(if you can, avoid the dangerous)
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determining data quality takes a lot of work ... and that really slows down the data sales process.
one area most data companies can do a better job in is transparency. most data companies don't even publicly publish their schema, their fill rates, or have an open docs site. that is going to be table-stakes for having a data company in the future.
great recruits are either high alpha, low beta.
High alpha means high, compounding impact/returns. Low beta means low risk and volatility. As an investor or employer, you want both—but they rarely coexist. High-return assets usually come with higher volatility, while low-volatility assets tend to deliver lower returns.
Big companies optimize for recruiting low beta people: predictable, repeatable outcomes with minimal volatility. Start-ups are more likely to focus on spiky high-alpha people.
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