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Many people believe that collecting more and more data is the best way to apply data science to understanding causal relationships and making predictions. This is not necessarily true, says Pedro Ferreira, Assistant Professor at Carnegie Mellon University – we should be looking for opportunities to perform randomized experiments instead. http://www.weforum.org/
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