Based on my limited understanding of analytics, the data set can be full of biases and anomalies, as long as you find a way to account for them in the analysis, no?
The accuracy of your analysis becomes limited to the accuracy of how well you correct for the biases. And it's difficult to measure the bias accurately without lots of good data or cross-examination.
