Fallstudie Swiss Re : «Case Management in P&C Reinsurance – Wissensarbeit im Fokus»

Die vorliegende Fallstudie von Swiss Re zeigt die komplexen Anforderungen, die Systeme zur Unterstützung von wissens- und dokumentenzentrierten Prozessen in einem kollaborativen Umfeld zu erfüllen haben. Dabei geht es in erster Linie darum, das optimale Mass an Standardisierung und Flexibilisierung zu finden, um Wissensarbeiter von Routinearbeiten zu entlasten und in ihren Entscheidungen zu unterstützen. Auf der herausfordernden Reise zur Lösung näherte sich Swiss Re schrittweise und mit einem klaren Richtungswechsel den Bedürfnissen ihrer Wissensarbeitenden

Case and Activity Identification for Mining Process Models from Middleware

Process monitoring aims to provide transparency over operational aspects of a business process. In practice, it is a challenge that traces of business process executions span across a number of diverse systems. It is cumbersome manual engineering work to identify which attributes in unstructured event data can serve as case and activity identifiers for extracting and monitoring the business process. Approaches from literature assume that these identifiers are known a priori and data is readily available in formats like eXtensible Event Stream (XES). However, in practice this is hardly the case, specifically when event data from different sources are pooled together in event stores. In this paper, we address this research gap by inferring potential case and activity identifiers in a provenance agnostic way. More specifically, we propose a semi-automatic technique for discovering event relations that are semantically relevant for business process monitoring. The results are evaluated in an industry case study with an international telecommunication provider

Example-driven web API specification discovery

REpresentational State Transfer (REST) has become the dominant approach to design Web APIs nowadays, resulting in thousands of public REST Web APIs offering access to a variety of data sources (e.g., open-data initiatives) or advanced functionalities (e.g., geolocation services). Unfortunately, most of these APIs do not come with any specification that developers (and machines) can rely on to automatically understand and integrate them. Instead, most of the time we have to rely on reading its ad-hoc documentation web pages, despite the existence of languages like Swagger or, more recently, OpenAPI that developers could use to formally describe their APIs. In this paper we present an example-driven discovery process that generates model-based OpenAPI specifications for REST Web APIs by using API call examples. A tool implementing our approach and a community-driven repository for the discovered APIs are also presented

Cognitive Computing: What’s in for Business Process Management? An Exploration of Use Case Ideas

Cognitive Computing promises to fundamentally transform corporate information processing and problem solving. Building on latest advances in cognitive, data, and computer science, Cognitive Computing aims to deliver autonomous reasoning and continuous learning under consideration of contextual insights and the natural interaction of humans and machines. Cognitive Computing is expected to offer significant application opportunities for business process management (BPM). While first studies have investigated the potential impact of Cognitive Computing on BPM, the intersection between both disciplines remains largely unexplored. In particular, little work has been done on identifying Cognitive BPM use cases. To address this gap, we develop an analysis framework that aims to assist researchers and practitioners in the development of Cognitive BPM use case ideas. This framework combines the most significant problem classes addressed by Cognitive Computing with central activities of the BPM lifecycle. We also used the framework as foundation of explorative workshops and report on the most interesting cognitive BPM use cases ideas we discovered