Bain & Company Been rated as meeting under expectations at an MBB and one key area is I’ve been told that include checks for errors in a model. Specifically, to check for errors in the input data provided? How do you assess the input provided is accurate? Especially if it’s provided by the client?!?! Bain & Company McKinsey & Company Boston Consulting Group Oliver Wyman EY-Parthenon Strategy&

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It’s just sense checking the data set variance to see if there are any crazy outliers and if the numbers you are seeing pass the common sense test. If you plug data into you model and the results come out looking all sorts of crazy, you diagnose what’s causing that. Sometimes the source is a bad dataset.

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Yeah sounds like feedback for the sake of feedback tbh

Well this is one of the first step you’d do upon checking the data. general stats on the underlying data to sense if it may have issues (missing, outliers seems wrong). Seems you may think superfluous but if later one there is smth weird in the model outputs and it comes back to the input data then it’s a real bad look to only find out then (incl having to go back to clients )

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