In the aftermath of a US presidential election in which all major polls failed to predict the outcome -- the election of Donald J. Trump over Hillary Clinton -- plenty of people are wondering what happened. Can they trust data and analytics? What went wrong with these polls and predictions?
And if this data and these predictions can't be trusted, what are the ramifications for other data and analytics efforts. Will analytics projects be viewed with greater skepticism?
We talk to expert Tricia Aanderud, author and director of the Data Visualization Practice at Zencos Consulting, about what went wrong with election predictions and what it means for data and trust in 2017.
