Towards a unified vision of business process and organizational data

Business processes are usually enacted within a complex technological environment. Business processes data (e.g., cases, activity instances, variables, resources, etc.) is usually implicit in information systems and coupled with organizational data (e.g., clients, orders, payments, etc.). Even if processes are managed by a Business Process Management System, the link between both kinds of data is not easy to discover. In this context, a compartmentalized vision of process data on the one hand, and organizational data on the other, is not adequate to provide the organization with the evidence-based business intelligence necessary to improve their daily operation. In this paper, we deal with the integration of business process and organizational data as a basis for providing organizations with elements to allow a complete evaluation of the business process execution. We provide an analysis of scenarios for data integration and data matching problems, and we propose a model-driven approach for providing a unified view capturing all the pieces of data consistently for applying both process mining and data mining techniques.