Share the biggest screw ups you've seen, data & analytics edition

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There was a time that numerous independent analysts collected data to estimate who would win an election and handily predicted one candidate would win. Then the world was shocked when an orangutan was given nuclear launch codes!!

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Spent a year developing ML predictive models for a new actuarial framework using a dummy data set provided by the client, based or variables chosen by the client.

Come go-live, as real data starts trickling in, this meticulously tuned, expensive model is largely throwing blanks.

Turns out the key data field they chose was non-mandatory and only had about 5% completeness.

Cue very expensive refactoring

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They were implementing new data collection forms with new fields. The real data from that wouldn't be available until go-live, and they wanted preliminary predictions from from the first day which would then be refined with real data.

Deployed a forecasting model to manage operations in GMT rather than EST, leading to absolutely insane outputs.

Model had a 45% MAPE when it went to prod, but a 3% MAPE if it was offset by 8 hours to reflect the correct time zone.

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DM or reply if interested

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Deloitte Human Capital managers in commercial....what are you all making over there?

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I need to do a timeline with lots of information over a long period of time. I wanted to that in Tableau, but partner will not pay license and data is sensitive so I cannot use Tableau public.
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