The Business, Societal, and Enterprise Architecture Framework

2021 ◽  
pp. 447-490
Author(s):  
Antoine Trad
Keyword(s):  
Decision Making ◽  
Data Science ◽  
Enterprise Architecture ◽  
Business Environment ◽  
Transformation Process ◽  
Business Transformation ◽  
Architecture Framework ◽  
Decision Making System ◽  
Enterprise Architecture Framework ◽  
Using Data

In this chapter, the author presents an artificial intelligence (AI)-based generic concept for decision making using data science. The applied holistic mathematical model for AI (AHMM4AI) focuses on data and access management. A decisive business decision in a business transformation process of a traditional business environment into an automated AI-based business environment is the capacity of the decision-making system and the profile of the business transformation manager (BTM, or simply the manager). The manager and his team are supported by a holistic framework. The role of data science and the needed data modelling techniques are essential for managing data models in a transformation project. For that reason, the development of the big data for AI (BGD4AI) is an essential start.

The Business Transformation and Enterprise Architecture Framework

2020 ◽  
pp. 304-339
Author(s):  
Antoine Trad
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Enterprise Architecture ◽  
Selection Process ◽  
Business Case ◽  
Knowledge Management System ◽  
Business Transformation ◽  
Architecture Framework ◽  
Decision Making System ◽  
Enterprise Architecture Framework

The HSD&E activities are supported by a central decision-making system (DMS) (in which a HR subsystem is included), knowledge management system (KMS), and an enterprise architecture project (EAP). The chapter's proof of concept (PoC) is based on a business case from the insurance domain where the central point is the capacity of the selected manager skillset to successfully start and finalize a BTP or an EAP (or simply a project). The PoC shows the selection process of a manager's skillset to transform the traditional insurance enterprise into an agile and automated enterprise. Projects are managed by managers, who are (or should be) supported by a methodology and a framework that can estimate the risks of failure of a project; at the same time, they should be capable of managing the implementation project processes.

The Business Transformation Framework and Enterprise Architecture Framework

2021 ◽  
pp. 535-566
Author(s):  
Antoine Trad
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Money Laundering ◽  
Asset Management ◽  
Enterprise Architecture ◽  
Real Life ◽  
Concrete Case ◽  
Business Transformation ◽  
Architecture Framework ◽  
Enterprise Architecture Framework

In this chapter, the author based his research on his authentic mixed multidisciplinary applied mathematical model that is supported by a tree-base heuristics module, named the applied holistic mathematical model for organizational asset management (AHMM4OAM), where the proposed AHMM4OAM is similar to the human empirical decision making process, which can be applied to any type of asset management discipline, in order to support the evolution of organisational, national, or enterprise asset management. The AHMM4OAM can be used for the detection of financial irregularities, assets optimisations and eventual dangers for the organisation's or national assets. In the case of gigantic financial misdeeds that endanger national assets, which are related to fraud and money laundering that damage many organisations and even countries, and in this concrete case it is related to the Swiss, Union des Banques Suisse (UBS), in which 32 trillion US dollars are hidden and is the problem of global financial disequilibria. The AHMM4OAM is supported by a real-life case of a organisational (or business) transformation architecture in the domain of organizational (or enterprise) asset management (OAM) that is supported by the alignment of a standardized organisational or enterprise architecture blueprint.

The Business Transformation Framework and Enterprise Architecture Framework for Managers in Business Innovation

2019 ◽  
pp. 19-37
Author(s):  
Antoine Trad ◽  
Damir Kalpić
Keyword(s):  
Success Factors ◽  
Enterprise Architecture ◽  
Transformation Process ◽  
Business Transformation ◽  
Architecture Framework ◽  
Modern Business ◽  
Enterprise Architecture Framework ◽  
Security Operations ◽  
Business Engineering ◽  
Security Standards

The business transformation project (BTP) of a modern business environment needs a well-designed information and cyber technology security automation concept (ITSAC) that, in turn, depends on measurable success factors. These factors are used for the evolution of the transformation process. During the last decade, due to the global insecurity and financial crisis, the security strategies are not efficient. That is mainly due to the fact that businesses depend on security standards, cyber and information technology evolution, enterprise architecture, business engineering, and multilevel interoperability. They are restricted to blindfolded infrastructure security operations. Major BTPs are brutally wrecked by various security violations that may cause a no-go decision.

A Holistic Applied Mathematical Model for Business Transformation

2020 ◽  
pp. 298-339
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Language Development ◽  
Enterprise Architecture ◽  
Transformation Process ◽  
Business Transformation ◽  
Intelligent City ◽  
Decision Making System ◽  
Intelligent Cities ◽  
The City

The HMM for intelligent cities transformation projects (iCTP) (or simply projects) uses a natural language development (and simulation) environment that can be adopted by any project and for that goal the authors propose to use the holistic intelligent cities design concept (HICDC). The HICDC is supported by a central decision-making system (DMS) and enterprise architecture (sub)projects (EAP). The proof of concept (PoC) is based on the resources collected on the city of Beirut, capital of Lebanon, where the central point is the transformation process of a war-torn city into a modern, agile (relatively, in respect to the region), civilized, and automated intelligent city. Such projects are managed by intelligent city transformation managers (iCTM).

An Applied Mathematical Model for Business Transformation

2020 ◽  
pp. 248-297
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Enterprise Architecture ◽  
Business Case ◽  
Transformation Process ◽  
Business Enterprise ◽  
Proof Of Concept ◽  
Implementation Phase ◽  
Business Transformation ◽  
Decision Making System

The authors propose to use the holistic business system's risk assertion (HBSRA). The HBSRA supports a central decision-making system (DMS), projects, and enterprise architecture projects (EAP). The proof of concept (PoC) is based on applied business case from the insurance domain, where the central point is the transformation process of a traditional insurance enterprise into an agile and automated business enterprise. Such projects are managed by business transformation managers (manager or simply managers) who are supported with a methodology and a framework that can support and estimate the risks of implementation of projects. The manager is responsible for the implementation of the complex background of projects and during its implementation phase.

The Business Transformation Enterprise Architecture Framework

2021 ◽  
Vol 13 (1) ◽  
pp. 74-101
Author(s):  
Antoine Trad
Keyword(s):  
Research Method ◽  
Enterprise Architecture ◽  
Real Life ◽  
Market Development ◽  
Decision Making Process ◽  
Strategic Development ◽  
Business Transformation ◽  
Architecture Framework ◽  
Base Functions ◽  
Enterprise Architecture Framework

This chapter's author based his cross-functional research on an authentic and proprietary mixed research method that is supported by intelligent neural networks combined with a heuristics motor, named the applied mathematical model (AMM). The proposed AMM base functions like the human empiric decision-making process that can be compared to the behaviour-driven development. The AMM is supported by many real-life cases of business and architecture transformation projects in the domain of intelligent strategic development and operations (iSDevOps) that is supported by the alignment of various standards and development strategies that biases the standard market development and operations (DevOps) procedures, which are Sisyphean tasks.

The Business Transformation Framework and Enterprise Architecture Framework for Managers in Business Innovation

2019 ◽  
pp. 20-49
Author(s):  
Antoine Trad
Keyword(s):  
Knowledge Management ◽  
Software Engineering ◽  
Enterprise Architecture ◽  
Global Business ◽  
Business Transformation ◽  
Knowledge Based ◽  
Architecture Framework ◽  
Enterprise Architecture Framework ◽  
Global Software Engineering ◽  
Technical Recommendations

The KMGSE offers a real-life case for detecting and processing an enterprise knowledge management model for global business transformation, knowledge management systems, global software engineering, global business engineering and enterprise architecture recurrent problems solving. This global software engineering (GSE) subsystem is a driven development model that offers a set of possible solutions in the form of architecture, method, patterns, managerial and technical recommendations, coupled with an applicable framework. The proposed executive and technical recommendations are to be applied by the business environment's knowledge officers, architects, analysts and engineers to enable solutions to knowledge-based, global software engineering paradigms' development and maintenance.

The Business Transformation Enterprise Architecture Framework

2020 ◽  
pp. 309-344
Author(s):  
Antoine Trad
Keyword(s):  
Requirements Engineering ◽  
Research Method ◽  
Enterprise Architecture ◽  
Real Life ◽  
Business Transformation ◽  
Architecture Framework ◽  
Engineering Strategy ◽  
Enterprise Architecture Framework ◽  
Requirements Development ◽  
Development Methods

This chapter's author based his years long cross-functional research on an authentic and proprietary mixed research method that is supported by his own version of an intelligent neural networks, which is combined with an internal heuristics motor; altogether named the applied holistic mathematical model (AHMM), which is applied to requirements engineering strategy. The proposed AHMM fundamentally functions like the human empiric decision-making process that can be compared to the behaviour-driven development methods, which are optimal for requirements engineering. In this chapter, the AHMM is supported by many real-life cases of business and architecture transformation projects requirements' management, abstracted by the intelligent strategic requirements development (iSRDev) concept that is supported by the alignment of various existing standards and development strategies, like the development and operations (DevOps) procedures to map to the project's requirements.

The Business Transformation and Enterprise Architecture Framework

2018 ◽  
pp. 1-22 ◽  
Author(s):  
Antoine Trad ◽  
Damir Kalpić
Keyword(s):  
Global Economy ◽  
Enterprise Architecture ◽  
Planning Process ◽  
Business Transformation ◽  
Legal Standards ◽  
Business Environments ◽  
Architecture Framework ◽  
Related Risk ◽  
Enterprise Architecture Framework ◽  
Legal Controls

Business transformation projects and enterprise architecture projects for enterprises' business and their financial strategic planning process are essential to prepare the enterprise to integrate the local and the global economies in a sustainable and iterative way. The needed strategy for the integration of financial-engineering-related risk and legal controls is fundamental for its long-term vision and business longevity. Probably because of the ongoing financial uncertainty, these finance-related risks and legal standards are not mature and are even chaotic, so these facts can damage the business transformation project or an enterprise architecture project, and they may disable the traditional business environments to be a part and to compete with the networked global economy.

scholarly journals The Enterprise DNA: Static and Dynamic Digital Representation of Organizations

2019 ◽  
Vol 8 (6) ◽  
pp. 5034-5038
Keyword(s):  
Artificial Life ◽  
Enterprise Architecture ◽  
Biological Evolution ◽  
Business Environment ◽  
Digital Representation ◽  
Enterprise Life Cycle ◽  
Complex Interactions ◽  
Architecture Framework ◽  
Enterprise Architecture Framework ◽  
Biological Entities

The contemporary business environment become more complex and fast changing. The complex interactions and enterprise life cycle reminds the life of s species in the nature and , thus ,the mimic of biological entities can be applied as a modelling tool for better understanding how company operates and what makes it s successful. The broad purpose of this article is to propos e a foundation for applying Artificial Life s simulations for business analyse. Artificial Life is a concept that allow to mimic biological evolution and behaviour of living creatures for modelling complex systems , forming specific environment with interacting and evolving agents. The main goal of this paper is the research and suggestion of such characteristics and their representation, which will constitute Enterprise DNA. As the foundation of important company’s features, the Enterprise Architecture concept was applied. The Zach man Enterprise Architecture framework used as a base is of enterprise representation. Accordingly, the artefacts for phenotype representation are proposed and then, their digital XML representation found. The DNA digital representation model (genotype) for artefacts is proposed. This representation can be used by means of Genetic Algorithm for further implementation of Artificial Life’s simulation on real company’s data.

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