Enterprise Architecture Fundamentals

<p>The book is divided into five parts: parts I and II take a general perspective on enterprise, systems, and frameworks, parts III and IV are focused on technical aspects, and part V takes a prospective view on new challenges and technologies.</p><p><br></p><p>Part one outlines the basics of enterprise architecture modeling:</p><p>��� Enterprises' maps (or blueprints) and territories (environments, systems, processes)</p><p>��� Modeling primer: objects and surrogates</p><p>��� Modeling paradigm: environments and systems</p><p><br></p><p>Part two explains the core ideas of EA as a discipline:</p><p>��� Distinction between business and systems perspectives</p><p>��� Benefits of frameworks to map architectures and the management of changes</p><p>��� The Pagoda blueprint as a revised understanding of the Zachman framework</p><p><br></p><p>Part three considers the all-inclusive representation of data (environments), information (systems), and knowledge (enterprise):</p><p>��� Descriptive and prescriptive models</p><p>��� Profiles, meta-models, and the benefits of ontologies</p><p>��� Ontologies, Knowledge graphs, and the building of actionable maps of environments, organization, and systems.</p><p>��� Decision-making processes and the seamless integration of systems and representations.</p><p><br></p><p>Part four deals with engineering and the transformation of enterprise architectures:</p><p>��� Taxonomy of requirements and the distinction between architecture-oriented and business-driven requirements.</p><p>��� Refactoring of requirements along enterprise architecture concerns, with a focus on digital transformation.</p><p>��� Role of Use cases for the definition of business objectives, user-driven applications, and systems-oriented functions.</p><p>��� Role of Model-based systems engineering (MBSE) at the hub of enterprise architecture transformations, between Agile developments and systems modernization.</p><p><br></p><p>Part five considers enterprises as viable organisms and the consequences of new technologies for their resilience and evolution:</p><p>��� Enterprises' capacity to change in terms of architecture versatility and plasticity, and the benefits of a revisited Capacity maturity model integration (CMMI)</p><p>��� Evolutionary impact of Artificial intelligence and Machine-learning technologies with regard to enterprises' resilience in the face of disruptive changes in environments.</p>