How should constant ad-hoc requests be handled by a data science team?

In one of my old jobs, I found that it was hard to make progress on various projects when I would receive a ton of emails from various teams asking different questions about data we were receiving, or asking to pull data from a specific resource. It was one of the big reasons why I switched into a more engineering-focused job.

Do you think these requests should be handled by a specialized team, or should responsibility be shared across a …

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