An Applied Mathematical Model for Business Transformation and Enterprise Architecture

The HMM-based framework offers such a high-level implementation environment that can be used by any transformation team member without any prior specific schooling or advanced mathematics models. The HMM can be used to implement and design enterprise architecture blueprints, business transformation projects or decision-making systems, mathematical models, algorithms, and it is supported by many real-life cases of various business domains. The uniqueness of this research is that the HMM promotes a holistic unbundling and the alignment of various enterprise architecture standards and strategies to support business transformation processes. Actual archaic business, information technology, and generic transformation processes are managed as separate black boxes in isolated silos, where their internal and external components create a messy hairball that is called the enterprise's information and communication system (ICS).

The HMM research and development project concept (RDPC) uses factor-driven research and reasoning concept that is supported by a behaviour-driven development environment or a natural language programming that can be easily adopted by any RDPC, where the HMM framework offers such a high level factors editing their logic implementation environment that it can be used by any RDPC researchers without any prior knowledge in computer sciences, technical, or even advanced mathematics. The RDPC is a meta-model that can be used for research topics on enterprise architecture, business transformation or decision-making systems, mathematical models-algorithms. It is supported by many real-life cases. The uniqueness of this RDPC also promotes the future transformation project's unbundling and the alignment of various enterprise resources including services, architecture standards, and strategies to support business transformation processes as the first.


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.


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.


This chapter presents the holistic and dynamic knowledge management system (H&DKMS) concept that is implemented in a proof of concept to prove the feasibility of the chapter using the book's HMM approach. The H&DKMS supports business transformation projects (BTP) and enterprise architecture projects (EAP) (simply project). The H&DKMS is supported mainly by an adopted fictious case from the insurance domain. The uniqueness of the proposed HMM promotes a holistic architecture and implementation model that supports complex case studies. The integrated knowledge management and decision-making process are used in a day-to-day business and technology problems solving. In this chapter, the proposed solution (or model) is supported by a real-life case of business transformation methodology in the domain of H&DKMS that in turn is based on the alignment of various standards and avant-garde methodologies.


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

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 RMSPoC supports business transformation projects (BTP) and enterprise architecture projects (EAP) (or simply projects). This chapter is supported mainly by an adapted fictitious case from the insurance domain. The uniqueness and market lead of the authors' proposed HMM promotes a holistic cohesive enterprise architecture and implementation model that supports complex projects integrations using PoC, in this case the RMSPoC. The intelligent resources management system (RMS), which is described in a separate chapter, and decision-making system (DMS) are used in day-to-day business and technology problem solving. In this chapter, the proposed solutions (or cluster's model) are supported by a real-life case of a project methodology in the domain of resources management that in turn is based on the alignment of various business and technology standards and avant-garde methodologies.


This chapter is supported mainly by an adapted fictitious case from the insurance domain. The uniqueness and market lead of the authors' proposed HMM promotes a holistic cohesive enterprise architecture, design, and implementation model that supports complex projects integrations using a targeted PoC, in this case the EAP4PoC. The adaptable management system (aMS), which is described in a separate chapter, and decision-making system (DMS) are used in day-to-day business, architecture, and technology problem-solving activities. In this chapter, the proposed solutions are supported by a real-life case of a project methodology in the domain of enterprise architecture that in turn is based on the alignment of various business, architecture, and technology standards.


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.


2007 ◽  
Author(s):  
Zulkhairi Md Dahalin

Information Strategy Planning is about formulating an Information System strategy for the enterprise by developing a high-level overview model of the enterprisesinformation requirements. This overview model is the enterprises information architecture or blueprint which aims at aligning the enterprises business strategywith its Information Technology (IT) strategy. This book provides a practical guide to implementing Internet Service Provider (ISP) in an enterprise. It gives a completeunderstanding of the approach, tools and techniques used to carry out an ISP study. A real-life case study company is used to provide actual learning experience and itshould be a useful lesson for those contemplating on conducting an ISP study. Real life scenarios with limitations and pitfalls are combined with ideal situations so that lessons can be learnt to avoid common mistakes and alert potential failures as well as to highlight best practices. This book also provides reference to the Malaysian Government Manpower and Modernization Planning Unit (MAMPU) Information and Communication Technology (ICT) Strategic Plan Guideline and the MAMPU ISP Template Version 1.0 which are the main reference documents for government ministries and agencies embarking on an ISP study. Though the format of this book is not based on the guideline and the template, much of the main sections in the guideline and the template are covered in detail in this book.


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