7 Common Biases That Skew Big Data Results via @InformationWeek

Flawed data analysis leads to faulty conclusions and bad business outcomes. Beware of these seven types of bias that commonly challenge organizations' ability to make smart decisions.

All these are pretty much standard for any data analysis.  I think that Outliers and Overfitting need to have particular attention as it is easy to miss something that affects the results.  My recommendations are to do adequate exploratory data analysis to pick up the outliers, and use cross validation with training and test datasets to avoid overfitting.

Article here on Information Week