A profound analysis of all relevant business data in the company is necessary for optimizing business processes effectively. Current analyses typically exclusively run on business process execution data or on operational business data stored in a data warehouse. However, to achieve a more informative analysis and to fully optimize a company's business, a consolidation of all major business data sources is indispensable. Recent matching algorithms are insufficient for this task, since they are restricted either to schema or to process matching. Our demonstration presents BIAEditor that allows to annotate and match process variables and operational data models in order to perform such a global business impact analysis.

Over the last years, data management products as well as workflow products have established themselves as indispensable building blocks for advanced IT systems in almost all application areas. Recently, many vendors have created innovative product extensions that combine service-oriented frameworks with powerful workflow and data management capabilities. In this paper, we discuss several workflow products from different vendors with a specific focus on their SQL support. We provide a comparison based on a set of important data management patterns and illustrate the characteristics of various approaches by means of a running example.