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      As we have discussed before, big data is the study of data sets that are so large that traditional data-processing software cannot analyze it all. Big data, although requiring a different kind of data-processing system, big data allows researchers and analysts to utilize data that was not being previously been taken advantage of, and allows them to generate new insights. Since big data sets contain so much information that may have previously gone unnoticed, it can help to inform strategic business moves, feature areas of improvement and also be used to help predict future trends.

   Most people have become aware of the fact that everything they do online and on their phones leaves a cyber breadcrumb trail, where your internet searches and activities are logged. That is because all of these interactions that people engage in with technology every single day generate data points, thus creating a cyber breadcrumb trail that can be analyzed as a unit of data. As technology continues to play ever more important roles in our daily lives, it only makes sense that the amount of data that is being created will continue to increase. The sheer quantity of data that exists out there is getting bigger, and as follow, big data metrics and analytics are becoming more and more important.

Datafication – Turning big data into business solutions