The value returned by Enterprise Architecture (EA) is increasingly under consideration by researchers and practitioners. They struggle to justify the EA investments made. Quantifying the Enterprise Architecture benefits has always been a challenge because measurements and real value delivered can not often be expressed in simple technical oriented metrics only.  In this paper we suggest a multi-perspective framework, based on the concept of Balanced Scorecard (BSC), for providing guidance about where to identify and quantify the value of EA from the perspective of management. A derived methodology is used to localize a few selected Key Performance Indicators (KPI’s) for measuring the benefits of Enterprise Architecture that help practitioners to design and implement the suggested framework.

Enterprise Architecture (EA) in the context of enterprise engineering addresses aspects of developing, improving and integrating organizations. The paper introduces an approach to EA proposing Integration Concepts (IC) to reconcile changing business process requirements and information systems. Being process-driven and supporting integration issues the chosen IC is a Service Oriented Architecture (SOA). Therefore the contribution aims at developing a methodology to support service engineering by defining architectural domains in an EA. The paper shows the need for methods in the field of domain engineering supporting the design of a SOA. The main contribution of the paper is an algorithm based modelling approach and a methodology to support service domain clustering. The clustering algorithms are using a model considering business processes, information systems and information system interfaces. The algorithm adopts network-centric approaches used in the field of social network analysis to define and/or identify service domain clusters in complex scenarios. The paper summarizes a case study in a globally operating company and closes with a conclusion. The paper is organized by chapters addressing context, objective, approach, case, results and lessons learned.

The aim of this research is to develop an information agent framework for knowledge discovery in enterprise architecture (EA). This framework is based on specific purpose ontology and knowledge discovery techniques. Such framework would facilitate strategic decision making for EA stakeholders by enabling them to analyze and monitor the portfolio of processes, data, applications, and organizational units in terms of their correlation and impact in the overall organization. This framework is very useful for affording key stakeholders with the appropriate view that is reliant on an accurate and concise picture of systems, applications, technologies and other infrastructure elements in the business and how these integrate to serve the enterprise. The paper discusses the concepts and components of this framework. Potential benefits of this framework over existing approaches are also discussed.