Overall, we see big data as the ability to analyze, compare, and slice enormous streams of data—primarily byproducts of the digital age. Therefore, what makes big data "big" is a vast number of data elements across a volume of incidence. It opens the possibilities of understanding at a deeper level that, in most cases, can't be achieved otherwise. For example, it can give a historical analysis, such as why people voted a certain way at the polls. It also can provide a predictive framework, such as how to get more people to the polls.