Behavioral analytics is the study of human-generated Big Data such as those generated by mobile devices, banking transactions, and cell tower / wi-fi connectivity, where the goal is to analyze and identify behavioral patterns of individuals in space and time. Such patterns may then be used at the micro level to model and explain human behavior, or at the macro level to understand how masses of people such as inhabitants or visitors of a city or country move around and consume economic resources. The quantitative analysis of the data is usually accompanied with visualization tools and visual analysis, which make it much easier to identify patterns.
The BAV Lab, co-founded by FENS, SOM and MIT Media Lab’s Human Dynamics Group, is where we analyze data donated to us by major banks and insurance companies of Turkey, as well as data from public sources. We conduct research on such topics as customer shopping behavior and churn analysis, financial risk analysis, insurance fraud detection, data physicalization and collaborative decision making using tangible table-top displays. We rely on many quantitative techniques such as machine learning and data-mining for predictive analytics, optimization modeling, spatio-temporal modeling, and use various analytics software such as R, Weka, SAS, Matlab and ArcGIS. Feel free to visit our website for further information