A Generic Visualization Framework based on a Data Driven Approach for the Analytics data

Abstract

There are a number of analytics dashboard related solutions available today, but currently there is no open standard available to integrate different dashboards. In this paper, we provide a dashboard framework to combine data from different analytics sources such as Google Analytics, Flurry, JSON and Excel files, to form a customizable user interface. Our framework uses two configuration files, one for generic meta information and the other for individual services, to configure the dashboard. In our interface, it is possible to program basic calculations based on data from different sources. It is also possible to incorporate interfaces like drag and drop to configure options. Our framework is based on the plugin architecture, which allows easy addition of new data sources. The framework and visualization tool are data driven, meaning that if the source data changes in the future, there is no need to amend the dashboard as well. Our solution can work with local data as well as remote data from AWS servers with added authentication. We present the components of our dashboard solution along with implementation details of a prototype dashboard for a web service.