User:Fajmahal/sandbox

Neurographics is the statistical characteristics of human cognition and their relationship to common behavioral attributes that identify the predictable drivers of decision making cause and effect. Neurographics integrates neuroscience, psychological theory, and the segmenting, layering, and correlating of big data to better understand behavioral causation in human beings.

Neurographics is a relatively new concept, as current research practices have no standard organizing principle that can be replicated across data sets. Furthermore, audience insights methods are manual, biased and inefficient. It has been recently uncovered that survey mechanisms currently do not recruit true representative samples as it is not taking into consideration two of the primary influences on results: 1) “Why” someone responds positively or negatively and, 2) “How” a person thinks. These two variables have far greater influence over any other data set collected.

The rise of big data now allows for hundreds of data points to be mined and aggregated in an attempt to better understand predictable behaviors. However, people are not defined solely on disparate data points. Correlation of multiple data sets does not establish a universal framework to truly determine causation. When used with current metrics, neurographics allows for greater insight into how and why people behave the way that they do with greater predictability and certainty.