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It's worth noting the way data analysis is used by big companies shows that it's great at confirming the obvious decisions but terrible at finding useful outcomes for long term growth which require a degree of risk or loss before gain. businessinsider.com/how-netflix-uses-data-creative-decisions-renew-tv-films-analytics-2022-9
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The problem with data analysis for decision making is you can get data to answer any question... but it can't really get you to ask the right questions. It's like we've talked about with a/b tests, they can be useful, but also false assurance when you've missed the answer was c.