The Business Transformation Enterprise Architecture Framework

2021 ◽  
Vol 13 (1) ◽  
pp. 74-101
Author(s):  
Antoine Trad

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.

Author(s):  
Antoine Trad

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.


Author(s):  
Antoine Trad

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.


Author(s):  
Antoine Trad

The AMM is supported by a real-life case of a business transformation architecture in the domain of enterprise asset management (EAM) that is supported by the alignment of a standardized enterprise architecture blueprint. This chapter proposes an assets alignment pattern (AAP) and offers a set of solutions in the form of design, technical, and managerial recommendations to be used by the target company's asset analysts and enterprise architects to implement EAM solutions in the context of business transformation projects (BTP). Heuristics is applied in real-world complex problems that are very similar to transformation projects. The EAM-based AAP is not influenced by any specific business domain and has a holistic approach that uses a neural networks processor.


Author(s):  
Antoine Trad

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.


Author(s):  
Antoine Trad

This chapter proposes the applied holistic mathematical model for geopolitical analysis (AHMM4GA) that is the result of research on societal, business/financial, and geopolitical transformations using applied mathematical models. This research is based on an authentic and proprietary mixed research method that is supported by an underlining mainly qualitative holistic reasoning model module that punctually calls to quantitate functions. The proposed AHMM4GA formalism, attempts to simulate functions to support empirical processes.


Author(s):  
Antoine Trad

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.


Author(s):  
Antoine Trad ◽  
Damir Kalpic

This chapter's authors based their research on an authentic and proprietary mixed multidisciplinary research method that is supported by intelligent neural networks combined with a heuristics module, they are named the Applied Mathematical Model (AMM). Where the proposed AMM is similar to the human empiric decision-making process, the AMM is supported by a real life case of a business transformation architecture in the domain of Knowledge and Intelligence Driven Development (KIDD) that is supported by the alignment of a various standards and technologies.


Author(s):  
Antoine Trad ◽  
Damir Kalpić

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.


Author(s):  
Antoine Trad ◽  
Damir Kalpić

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.


Author(s):  
Antoine Trad

This journal article proposes a cross-business domain applied holistic mathematical model (AHMM) that is the result of a lifetime long research on business transformations, applied mathematics, software modelling, business engineering, financial analysis, and global enterprise architecture. This ultimate research is based on an authentic and proprietary mixed research method that is supported by an underlining mainly qualitative holistic reasoning model module. The proposed AHMM formalism attempts to mimic some functions of the human brain, which uses empirical processes that are mainly based on the beam-search, like heuristic decision-making process. The AHMM can be used to implement a decision-making system or an expert system that can integrate in the enterprise's business, information and communication technology environments. The AHMM uses a behaviour driven development environment or a natural language environment that can be easily adopted by the project's development teams. The AHMM offers a high level implementation environment that can be used by any team member without any prior computer sciences qualification. The AHMM can be used also to model enterprise architecture (EA) blueprints, business transformation projects, or knowledge management systems; it is supported by many real-life cases of various business domains. The uniqueness of this research is that the AHMM promotes a holistic unbundling process, the alignment of various EA standards and transformation strategies to support business transformation projects.


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