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>