The 7 Deadly Sins of Quantitative Data Analysts by Raquel Sapnu via +Datafloq - Quantitative analysis: It’s such an appealing phrase. It provides a sense of order and rationality in an often unordered and irrational world. When done right, quantitative analysis can give you a sense of satisfaction and accomplishment. You’ve quantified, you’ve analysed, and as a result you now have a nicely working model with which to grow your business. Unfortunately, it doesn’t always work out that way. There are actually quite a few ways to screw up quantitative analysis and here are 7 examples of it.
Interesting and worth taking heed of the warning - these are easy to do and should be avoided.
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