An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 433-463
Keyword(s):  
Research And Development ◽  
Research Method ◽  
Enterprise Architecture ◽  
Financial Analysis ◽  
Development Project ◽  
Research Management ◽  
Business Transformation ◽  
Research Concept ◽  
Software Modelling ◽  
Business Engineering

This chapter presents the resources management system's research and development project (RMSRDP) that explains in detail the application of the research concept where the enterprise research management (ERM)-based transformation projects are carried on to optimize enterprise resources in transformed end enterprises, the result of an innovative research and development on 1) business resources-oriented case studies, 2) ERM, 3) business transformations, 4) applied mathematical models, 5) software modelling, 6) business engineering, 7) financial analysis, 8) decision-making systems and CSFs, 9) artificial intelligence (AI), and 10) enterprise architecture. The RMSRDP is based on an authentic and proprietary research method and framework that are supported by an underlining mainly qualitative holistic reasoning model module.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 377-406
Keyword(s):  
Research Method ◽  
Enterprise Architecture ◽  
Financial Analysis ◽  
Applied Mathematics ◽  
Project Teams ◽  
Resources Management ◽  
Business Transformation ◽  
Software Modelling ◽  
Business Engineering ◽  
Language Environment

This chapter presents the resources management implementation concept (RMIC)-based transformation projects to optimize resources creation/management in a transformed enterprise system, the result of research and development on 1) business resources case studies, 2) resources management, 3) business transformations, 4) applied mathematics/models, 5) software modelling, 6) business engineering, 7) financial analysis, 8) decision-making systems, 9) artificial intelligence (AI), and 10) enterprise architecture. The RMIC is based on an authentic and proprietary research method that is supported by an underlying mainly qualitative holistic reasoning module, which is an AI/empirical process that uses a natural language environment that can be easily adapted by the project teams.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 172-210
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Research Method ◽  
Enterprise Architecture ◽  
Financial Analysis ◽  
Applied Mathematics ◽  
Decision Making System ◽  
Information And Communication ◽  
Software Modelling ◽  
Business Engineering

This chapter proposes a cross-business domain holistic mathematical model (HMM) that is the result of a lifetime of research on business transformations, applied mathematics, software modelling, business engineering, financial analysis, and global enterprise architecture. This 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 HMM 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 HMM can be used to implement a decision-making system or an expert system that can integrate the enterprise's business, information, and communication technology environments.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 407-432
Keyword(s):  
Artificial Intelligence ◽  
Research Method ◽  
Process Management ◽  
Enterprise Architecture ◽  
Financial Analysis ◽  
Applied Mathematics ◽  
Project Teams ◽  
Business Transformation ◽  
Business Engineering ◽  
Language Environment

This chapter presents transformation projects based on the holistic project resource management pattern (HPRMP) to optimize the ERM in a transformed enterprise that is the result of research and development on 1) business and resources case studies, 2) enterprise resources management and processes management, 3) business transformations, 4) applied mathematics models, 5) software and resources modelling, 6) business engineering, 7) financial analysis, 8) decision-making systems, 9) artificial intelligence (AI), 10) business process management, and 11) EA. The HPRMP is based on an authentic and proprietary research method that is supported by an underlining mainly qualitative holistic reasoning model module, which is an AI/empirical process that uses a natural language environment that can be easily adopted by the project teams.

Business Transformation and Enterprise Architecture

2020 ◽  
pp. 194-230
Author(s):  
Antoine Trad ◽  
Damir Kalpić
Keyword(s):  
Asset Management ◽  
Enterprise Architecture ◽  
Financial Analysis ◽  
Applied Mathematics ◽  
Business Case ◽  
Wealth Creation ◽  
Business Transformation ◽  
Management Concept ◽  
Software Modelling ◽  
Business Engineering

This chapter presents the holistic project asset management concept (HPAMC)-based transformation projects to optimize asset/wealth creation/management in transformed enterprise system that is the result of research and development on 1) business case studies, 2) asset/wealth management, 3) business transformations, 4) applied mathematics/models, 5) software modelling, 6) business engineering, 7) financial analysis, 8) decision making systems, 9) artificial intelligence (AI), and 10) enterprise architecture.

scholarly journals The Business Transformation and Enterprise Architecture Framework The Applied Holistic Mathematical Model’s Persistence Concept (AHMMPC)

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Enterprise Architecture ◽  
Financial Analysis ◽  
Applied Mathematics ◽  
Decision Making Process ◽  
Beam Search ◽  
Cross Domain ◽  
Architecture Framework ◽  
Enterprise Architecture Framework ◽  
Software Modelling ◽  
Business Engineering

This article proposes a cross domain Applied Holistic Mathematical Model (AHMM) that is the result of a lifetime long research on various types of transformations, applied mathematics, software modelling, heuristic brain-like algorithms, business engineering, financial analysis and global system architecture. This ultimate research is based on an authentic and proprietary mixed research method that is supported by an underlining mainly qualitative holistic neural networks algorithms [1]. The proposed HMM formalism attempts to mimic and simulate some functions of the human brain, which uses empirical processes that are mainly based on the beam-search, like heuristic decision-making process that uses a persistence concept.

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.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 103-130
Keyword(s):  
Mathematical Model ◽  
Enterprise Architecture ◽  
Real Life ◽  
Development Project ◽  
Advanced Mathematics ◽  
Development Environment ◽  
Business Transformation ◽  
Natural Language Programming ◽  
High Level ◽  
Transformation Processes

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.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2021 ◽  
pp. 51-89
Author(s):  
Antoine Trad
Keyword(s):  
Mathematical Model ◽  
Risk Management ◽  
Enterprise Architecture ◽  
Business Environment ◽  
Business Systems ◽  
Management Pattern ◽  
Business Transformation ◽  
Business System ◽  
Business Engineering ◽  
Research Architecture

This chapter on an optimal and adaptable enterprise architecture for business systems is one of a series of research chapters on enterprise architecture and business transformations. This one is about estimating the risk for transforming a business environment. It is a conclusion of many years of research, architecture, consulting, and development efforts. The model is based on an applied holistic mathematical model (AHMM) for business transformations. In this chapter, the CSFs are tuned to support the intelligent architecture concepts for business integration in the form of an applied pattern that is also a part or a chapter in this research series. This chapter is related to the feasibility and prototype of the business engineering and risk management pattern (BE&RMP) that should (or shouldn't) prove whether business transformation projects can optimize enterprise business capabilities and how microartefact implementation can offer a sustainable enterprise business system.

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 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.

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