I don't think most people are that naive.

IE. They know what they're looking for. They know when the data is right or wrong because they've seen it from other places here and there over time.

When they're not sure and the risk of getting it wrong is costly, they'll find the data analyst to verify.

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thepryz 2 days ago | parent [-]

All I can say is that my experience suggests they are that naive because in a fast paced environment, there are often people pulling data without the context to validate it and the push to move faster and faster means proper validation isn't happening. Often it's only discovered after someone who does understand begins looking, asking questions and the errors become known and by then, it's too late.

I've seen it firsthand, multiple time and while anecdotes aren't data, conversations I've had with peers at other companies suggest they have similar experiences.

	▲	ethbr1 2 days ago \| parent [-]
		I'd second that. My experiences, across multiple companies, are that data validity risks are drastically increased by someone not diligent & knowledgeable about implementation details. Furthermore, that persona is also often incapable of self-checking and recognizing errors in their presented data, because they don't know how it was generated in the first place.