If you have spent time working inside a data team, you already know how a typical Tuesday looks.
A message comes in from the sales manager. Then one from finance. Then someone from the product team who just needs "a quick number." Before 10 AM, your backlog is three queries deep. None of them are complicated on their own. But together they eat up...
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