Provided by: University of Udine
Topic: Data Management
Date Added: Jul 2011
An increasing data overload makes it difficult to provide the needed information to knowledge-workers and decision-makers in today's process-oriented enterprises. The main problem is to identify the information being relevant in a given process context. Moreover, there are new ways of collaboration in the context of distributed processes (e.g., automotive engineering, patient treatment). The goal is to provide the right process information, in the right format and granularity, at the right place, at the right point in time to the right people. Picking up this goal, enterprises crave for intelligent and process-oriented information logistics. In this paper, the authors investigate fundamental issues enabling such information logistics based on two exploratory case studies in the automotive and the clinical domain.