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null

When you finish up last piece of analysis on Sunday all day for a meeting on Monday afternoon and realize that the raw data client sent is inconsistent ..

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Just document the discrepancies and share them at the meeting. That way you can basically say your analysis methodology is fine but you need cleaner and more accurate data

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sh$t in sh$t out. blame it on the man

The annoying part is redoing everything !!

I had this exact same issue!! Our director pulled the wrong data from the data center

Damn clients.

Look at the positive side and try proposing a data clean up / data governance solution to the client

Thanks mate! ;) the client can definitely benefit more with that solution than the real issue at hand (first things first :D)

Faulty client data is the cause 90% of the time when you get "surprised faces" from clients because the analysis wasn't what they were expecting.

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