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.

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. 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. 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.

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.

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.

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 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.

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.

Sign in / Sign up

Export Citation Format

Share Document