An Applied Mathematical Model for Business Transformation and Enterprise Architecture Projects

2020 ◽  
pp. 211-247
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Knowledge Management ◽  
Enterprise Architecture ◽  
Real Life ◽  
Knowledge Management System ◽  
Complex Case ◽  
Avant Garde ◽  
Business Transformation ◽  
Implementation Model

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.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 502-538
Keyword(s):  
Mathematical Model ◽  
Enterprise Architecture ◽  
Real Life ◽  
Technology Standards ◽  
Resources Management ◽  
Avant Garde ◽  
Business Transformation ◽  
Implementation Model ◽  
Complex Projects ◽  
Decision Making System

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.

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 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.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 464-501
Keyword(s):  
Mathematical Model ◽  
Enterprise Architecture ◽  
Real Life ◽  
Technology Standards ◽  
Business Transformation ◽  
Business Architecture ◽  
Implementation Model ◽  
Design And Implementation ◽  
Complex Projects ◽  
Decision Making System

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.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

2020 ◽  
pp. 26-66
Keyword(s):  
Mathematical Model ◽  
Case Studies ◽  
Enterprise Architecture ◽  
Complex Case ◽  
Proof Of Concept ◽  
Business Transformation ◽  
Implementation Model

This chapter presents an applied case study (ACS) that is supported by a proof of concept (PoC) that is implemented in each of this book's chapters to prove the feasibility of the chapter's and hence the book's HMM approach. The ACS/PoC are used to present the research's framework on how to support business transformation projects (BTP) and enterprise architecture projects (EAP) (or simply projects). The ACS/PoC is supported mainly by an adopted fictive case from the insurance domain. The uniqueness of the proposed HMM promotes a holistic enterprise architecture and an implementation model that supports complex case studies.

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.

Advancing Cybersecurity for Business Transformation and Enterprise Architecture Projects

2021 ◽  
pp. 288-331
Author(s):  
Antoine Trad
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Model ◽  
Decision Making ◽  
Enterprise Architecture ◽  
Research Approach ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Business Transformation ◽  
Action Research Approach ◽  
Enterprise Transformation

In this chapter, the author bases his research project on his authentic mixed multidisciplinary applied mathematical model for transformation projects. His mathematical model, named the applied holistic mathematical model for projects (AHMM4P), is supported by a tree-based heuristics structure. The AHMM4P is similar to the human empirical decision-making process and is applicable to any type of project; it is aimed to support the evolution of organisational, national, or enterprise transformation initiatives. The AHMM4P can be used for the development of the cybersecurity subsystems, enterprise information systems, and their decision-making systems, based on artificial intelligence, data sciences, enterprise architecture, big data, deep learning, and machine learning. The author attempts to prove that an AHMM4P-based action research approach can unify the currently frequently-used siloed MLI4P and DLI4P trends.

The Business Transformation Framework on Knowledge and Intelligence-Driven Development (KIDD)

2021 ◽  
pp. 373-391
Author(s):  
Antoine Trad ◽  
Damir Kalpic
Keyword(s):  
Neural Networks ◽  
Mathematical Model ◽  
Decision Making ◽  
Research Method ◽  
Real Life ◽  
Decision Making Process ◽  
Multidisciplinary Research ◽  
Business Transformation

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.

An Applied Mathematical Model for Business Transformation

2020 ◽  
pp. 67-102
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Success Factors ◽  
Enterprise Architecture ◽  
Development Environment ◽  
Business Transformation ◽  
Critical Success ◽  
Development Teams ◽  
Integrating Factors ◽  
Levels Of Integration

The original HMM uses a natural language- or behaviour-driven development environment that can be adopted by development teams by using and integrating factors' categories in their system; that is why the authors propose the use of the holistic critical success factors management system (HCSFMS), and they implement a proof of concept (PoC) to prove this chapter's concept feasibility and levels of integration risks. The HCSFMS supports decision-making systems (DMS), business transformation projects, and enterprise architecture projects (EAP) (or simply the project). The PoC is based on a fictious case from the insurance domain.

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

2021 ◽  
Vol 12 (1) ◽  
pp. 142-181
Author(s):  
Antoine Trad
Keyword(s):  
Decision Making ◽  
Enterprise Architecture ◽  
Financial Analysis ◽  
Applied Mathematics ◽  
Journal Article ◽  
Real Life ◽  
Development Environment ◽  
Business Transformation ◽  
Enterprise Architecture Framework ◽  
High Level

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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