And these idiots wonder why people aren't buying their product anymore:
Predicting a No 1 song used to be a mug's game. But today a team of data experts and computer geeks will generate a scientific model which promises to help EMI's star acts craft the perfect hit.The mission for the data scientists, gathered by the record company behind Coldplay and Kylie Minogue is simple: devise an algorithm from a wealth of consumer research which can finally predict if a listener will love a new song . . . The results will be used to help EMI executives decide which new acts the label should sign, or what single stars like Katy Perry and Tinie Tempah should release to reach new fans.
The project is being overseen by David Boyle, EMI's head of consumer insight, who helped build the data analysis infrastructure for President Obama's 2008 presidential campaign. In an era of declining recorded music sales, EMI needs to know more about how the potential audience will react to an artist or song before investing in an expensive release campaign.
The scientists will be given the results of EMI's One Million Interview Dataset, the largest body of detailed music research ever compiled, which asks consumers across 25 countries their opinion of EMI artists and rate songs they have just heard.
Because there's nothing like throttling whatever creativity still remains in pop music for the sake of better market research. Besides, this kind-of reinventing the wheel, nicht wahr?
---Vitelius
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