Business architecture reference model (BARM) for small and medium enterprises (SMEs)
Reference Architecture for Smart Manufacturing Part 1: Functional Models
Microsoft Azure IoT reference architecture
There is a general lack of awareness regarding the creation, use, and potential benefits of enterprise-wide process architectures. This article addresses these issues by attempting to address the question: What are the potential benefits of business process architecture and how may they be achieved? This article explores and analyzes a subset of the most popular and widely used process reference models, tools, and implementation methodologies as identified in popular practitioner literature. The models are then compared and critiqued for strengths and weaknesses. Finally, the selected sample of reference models will be evaluated and scrutinized for apparent themes. Considerations regarding how the reference models and methodologies can be selected and combined for maximum benefit are offered. The article provides an overview of the developing business process architecture discipline, and describes the practice conceptually and then discusses potential benefits and common challenges. Analysis of the various models, tools, and methodologies yields that they are often distinguished by relative strengths and weaknesses, and that the best option depends on the situation and objectives. By following generic initial phases of the selected methodologies, organizations can roughly visualize their business context and enterprise-level processes to facilitate the creation of process architecture vision and objectives.
In this article, we argue that ontology’s and semantic web technologies are important to the future of Enterprise Architecture (EA). The article outlines the value and need for dynamic models of enterprises, and points to semantic web technologies as the most promising way to do this. First, we observe that Enterprise Architecture (EA) models that could be distributed, federated, and executed will be essential to support the needs of agile enterprises to respond rapidly to opportunity and change. As the value propositions, applications and uses of EA move toward executable models, we note that ontology’s and semantic web standard languages are well suited for the next generation of EA solutions. Semantics involve knowledge representation and semantic web technology not only makes it easier to aggregate and analyze information, but also paves the road to active or executable enterprise architectures driven by its capabilities for expressing, querying and federating enterprise models and information.