Event-based systems are gaining increasing popularity for building loosely coupled and distributed systems. Since business processes are becoming more interconnected and event-driven, event-based systems fit well for supporting and monitoring business processes. In this paper, we present an event-based business intelligence tool, the Event Tunnel framework. It provides an interactive visualization of event streams to support business analysts in exploring business incidents. The visualization is based on the metaphor of considering the event stream as a cylindrical tunnel, which is presented to the user from multiple perspectives. The information of single events laid out in the Event Tunnel is encoded in event glyphs that allow for a selective mapping of event attributes to colors, size and position. Different policies for the placement of the events in the tunnel as well as a clustering mechanism generate various views on historical event data. The Event Tunnel is able to display the relationships between events. This facilitates users to discover root causes and causal dependencies of event patterns. Our framework couples the event-tunnel visualization with query tools that allow users to search for relevant events within a data repository. Using query, filter and highlighting operations the analyst can navigate through the Event Tunnel until the required information or event patterns become visible. We demonstrate our approach with use cases from the fraud management and logistics domain.

Abstract-Business processes spanning across organizational boundaries inside and outside an enterprise are increasingly becoming common practice in today's networked business environments. Service level agreements (SLAs) are negotiated between enterprises to measure, ensure and enforce service fulfillment and quality in this dynamic context. Often, SLA violations are directly associated with penalty costs, making it crucial to stick to agreed SLAs and proactively intervene in case of potential violations. Thus, a framework is required which allows for (1) efficient business process compliance monitoring, and (2) taking immediate action in case of compliance violations in order to minimize the business impact. In this paper we present a novel compliance monitoring framework based on a Complex Event Processing (CEP) engine. It allows modeling business processes as event flows, whereby events reflect state changes in a process or the business environment. Compliance checkpoints are added to an event flow and signify aspects which may be relevant to monitor, such as the relative timeframe between two events. Upon these, monitoring rules are defined to detect compliance violations and automatically trigger corrective actions.

Event-based systems monitor business processes in real time. The event-tunnel visualization sees the stream of events captured from such systems as a cylindrical tunnel. The tunnel allows for back-tracing business incidents and exploring event patterns' root causes. The authors couple this visualization with tools that let users search for relevant events within a data repository.

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Abstract. Event processing rules may be prescribed in many different ways, including by finite state machines, graphical methods, ECA (event-conditionaction) rules or reactive rules that are triggered by event patterns. In this paper, we present a model for defining event relationships for event processing rules. We propose a so-called correlation set allowing users to graphically model the event correlation aspects of a rule. We illustrate our approach with the eventbased system SARI (Sense and Respond Infrastructure) which uses correlation sets as part of rule definitions for the discovery of event patterns. We have fully implemented the proposed approach and compare it with alternative correlation approaches.