What Election Prediction Errors Can Teach Us About Data Science

I published a new article on Medium about the recent election forecasting issues. As you probably noticed, we did not get the Democrat landslide victory the pollsters told us we would.

Funny enough, this massive discrepancy illustrates two common problems the private sector has with data science:

1. Prediction errors
2. Data quality issues

In my article, I focus on the latter and explain how companies and data scientists can learn from the mistakes of pollsters.