An initial framework for predictive end-user application trigger

Abstract

In today's competitive environment, it is becoming a standard practice to analyze data to predict market trends and to improve enterprise performance. However, in order to be truly putting customers at the heart of everything, we present a framework which looks at predictive end-user application trigger. This paper discusses current issues of business intelligence systems and then outlines our vision of future predictive end-user application trigger. The research aims to formulate a generic (high-level) prediction model that is able to capture, analyze and model the heterogeneity of customer's profile in terms or Web searches, calling patterns, calendar entries, email-sage, connectivity, contexts and device preference in order to predict services that would be pertinent to a specific user at a specific location and time. This paper a talk about a number of examples of applying these technologies to improve BT's systems and services.