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About The Book
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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.Part one outlines the basics of enterprise architecture modeling: ● Enterprises maps (or blueprints) and territories (environments systems processes)● Modeling primer: objects and surrogates● Modeling paradigm: environments and systemsPart two explains the core ideas of EA as a discipline: ● Distinction between business and systems perspectives● Benefits of frameworks to map architectures and the management of changes● The Pagoda blueprint as a revised understanding of the Zachman frameworkPart three considers the all-inclusive representation of data (environments) information (systems) and knowledge (enterprise): ● Descriptive and prescriptive models● Profiles meta-models and the benefits of ontologies● Ontologies Knowledge graphs and the building of actionable maps of environments organization and systems.● Decision-making processes and the seamless integration of systems and representations.Part four deals with engineering and the transformation of enterprise architectures: ● Taxonomy of requirements and the distinction between architecture-oriented and business-driven requirements.● Refactoring of requirements along enterprise architecture concerns with a focus on digital transformation.● Role of Use cases for the definition of business objectives user-driven applications and systems-oriented functions.● Role of Model-based systems engineering (MBSE) at the hub of enterprise architecture transformations between Agile developments and systems modernization.Part five considers enterprises as viable organisms and the consequences of new technologies for their resilience and evolution: ● Enterprises capacity to change in terms of architecture versatility and plasticity and the benefits of a revisited Capacity maturity model integration (CMMI)● Evolutionary impact of Artificial intelligence and Machine-learning technologies with regard to enterprises resilience in the face of disruptive changes in environments.