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System of Systems Framework and Environment
Published in John P.T. Mo, Ronald C. Beckett, Engineering and Operations of System of Systems, 2018
A variety of asset types may be linked in networks: financial assets, physical assets, intangible assets, and knowledge assets to achieve the mission. For example, we may consider financial networks that are facilitated by the application of knowledge, intangible (data, software), and physical assets in smart banking systems. In this context, ISO 19439 describes an enterprise system modeling process that starts with a domain identification, creating a link with the system environment. The TOGAF enterprise model described in chapter 2 has four architecture domains that are commonly associated with specific mission objectives: Business Architecture defines the business strategy, governance, organization, and key business processes supporting economic sustainability.Data Architecture describes the structure of an organization's logical and physical data assets and data management resources supporting decision-making.Application Architecture provides a blueprint for the individual applications to be deployed, their interactions, and their relationships to the core business processes of the organization.Technology Architecture describes the logical software and hardware capabilities that are required to support the deployment of business, data, and application services. This includes IT infrastructure, middleware, networks, communications, processing, standards, etc.
A Semantic Model for Enterprise Digital Transformation Analysis
Published in Journal of Computer Information Systems, 2023
The data architecture of an enterprise is a set of models and rules that govern data collection, deployment, and analytics for the enterprise.35–37 Traditionally, the analysis and design of business process and the analysis and design of data architecture for the enterprise digital transformation are two independent system development processes: database development and application software development. In enterprise digital transformation, data and business process are closely interrelated. Figure 7 depicts a typical data structure in the context of enterprise digital transformation which is a set of multiple databases and data files along with connected business rules. Each database or data file has three components: logical model, physical model, and data rules. The logical model of database or data file includes entities and their relationships as well as the meta-data. The physical model includes data deployment and storages in the cloud. The data rules include policies and procedures of data management.
Towards software reuse through an enterprise architecture-based software capability profile
Published in Enterprise Information Systems, 2022
Abdelhadi Belfadel, Emna Amdouni, Jannik Laval, Chantal Bonner Cherifi, Nejib Moalla
Data architecture phase enhances the definition of the relation between data entities and targeted business functions previously defined in phase B. Then, the next needed action is to define the properties of each business data involved in the business functions using relevant data models such as the Class Diagram in UML that is serialised to retrieve the entities with their related attributes.