This visualization technique for displaying multiple dimensions has been developed by a research group at the University of Athens. They are looking for feedback from colleagues in the field on its functionality and utility.
In today’s business environment, data rules. Because it is used to determine every strategic move at each level of an organization, it makes sense that you should collect as much information as possible right? I argue that this is actually not the case! Like most things in life, too much of anything is bad- data included. The two major reasons why I argue this position are the paradox of choice and its causal relationship to analysis paralysis. If you have found yourself overwhelmed with a data set before and thought, “Where in the world do I even begin?” then this is the article for you. So grab a seat, pour yourself a cup of coffee, and get ready to never look at data the same way again. This article explores the idea that too much data can actually be detrimental to analysts.
Social data is growing exponentially, and traditional data sources alone have become inadequate to base identity verification decisions on. What is the future of identity verification, and how can big data analytics be utilised to gain more confidence while providing a more convenient and smoother user experience?