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Acerca da importância da experimentação:
"One way to improve forecasts is to seek more data. But new research suggests that with fashion products, this doesn’t always help.
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Because creative industries are highly dynamic, historical data isn’t always useful on its own.
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They found an interesting wrinkle: We make better judgments about volatile demand when we consider only contextual data. Historical data seemed to impair the A&R managers’ ability to interpret context.
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Because algorithms can forecast linear relationships much better than the human brain can, Seifert’s team suggests letting a computer make decisions in stable environments where the predictions depend solely on historical data. But when asking someone to make a judgment call in a volatile environment, consider withholding historical information so that he or she can focus on contextual information. More data isn’t always better."
Trechos retirados de "When to Forget the Rearview Mirror"
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