An Event-Based Model to Support Distributed Real-Time Analytics: Finance Case Study

This paper describes key modelling concepts for events, event patterns and related concepts needed to develop a distributed software framework for real-time business analytics. These concepts are specified by means of a minimal meta-model, whose implementation can enable better interoperability between different event processing systems. This in turn can support better, distributed, collaborative analytics applications in many domains. We show an implementation of our solution approach using a case study of several business analytics problems in finance.