Slipstream: Architecture Options for Real-Time Process Analytics

Janiesch Christian, Matzner Martin, Müller Oliver, Vollmer Robert, Becker Jörg

Abstract

Timely insight into a company's business processes is of great importance for operational efficiency. However, still today companies struggle with inflexibility of monitoring solutions and reacting to process information on time. We review the current state of the art of business process management and business activity management. Based on that we develop an architecture for event-driven business activity monitoring which is capable of standalone process analytics or can make use of complex event processing engines to filter and aggregate process events in real-time. We discuss advantages and disadvantages of the two options in terms of ease of use, flexibility, and extensibility and close by introducing on future research directions based on our experiences from a prototypical implementation using standard software.