Advanced web analytics tool for mouse tracking and real-time data processing

Abstract

Web analytic tools offer important support for better recognition of the web user’s behavior, identification of bottlenecks and errors in user interface design, performance measurement of web environment, monitoring of website availability or recommendation of appropriate website content. These tools are based on tracking techniques and sophisticated algorithms that process and evaluate large volumes of captured data. In this paper, we propose a new solution to capture mouse movements of web users, to identify their area of interest. This solution is based on real-time data transformation, which converts discrete position data with high sample period to predefined functions. This transformation has a high degree of accuracy, which is exemplified by case scenarios. The result of this solution is a significant saving in data, transmitted from the client to the server, which leads to significant savings in system resources on the server side