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. 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. 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.

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 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.

Applied Mathematical Model for Business Transformation Projects

2020 ◽  
pp. 269-308
Author(s):  
Antoine Trad
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Success Factors ◽  
Enterprise Architecture ◽  
Holistic Approach ◽  
Implementation Phase ◽  
Business Transformation ◽  
Critical Success ◽  
Decision Making System ◽  
Specific Implementation

In this chapter, the authors present an applied holistic mathematical model for business transformation (AHMM)-specific implementation for supporting an intelligent strategic decision making system (iSDMS) that is based on the management and evaluation of critical success factors (CSF). The AHMM-based iSDMS is based on a unique mixed research method that is supported by a mainly the author's qualitative research module, where the main goal is to insure long-term strategic business competitive advantage. An adapted AHMM for iSDMSs uses a natural programming language (NLP) environment and CSFs to model iSDMS. The iSDMS is based on a central reasoning engine and a distributed enterprise architecture project's (EAP) paradigm. This chapter's experiment is based on a proof of concept (PoC), which presents a concrete transformation decision making case, where the central point is the transformation of an information system. Such an iSDMS is managed by an iSDMS transformation manager(s) (iSDMSTM); it uses a methodology and a framework that can support and estimate the risks of implementation of an iSDMS and then uses it to solve problems. The iSDMSTM is responsible for the implementation of the complex iSDMSs, where during its implementation phase, the chosen transformation framework supports the iSDMSTM in a just-in-time manner. The “I” or “i” prefix does not stand just for the vulgare urban and siloed business and technical environments but for a distributed and holistic approach to transform complex business and technical systems.

A Holistic Applied Mathematical Model for Business Transformation

2020 ◽  
pp. 298-339
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Language Development ◽  
Enterprise Architecture ◽  
Transformation Process ◽  
Business Transformation ◽  
Intelligent City ◽  
Decision Making System ◽  
Intelligent Cities ◽  
The City

The HMM for intelligent cities transformation projects (iCTP) (or simply projects) uses a natural language development (and simulation) environment that can be adopted by any project and for that goal the authors propose to use the holistic intelligent cities design concept (HICDC). The HICDC is supported by a central decision-making system (DMS) and enterprise architecture (sub)projects (EAP). The proof of concept (PoC) is based on the resources collected on the city of Beirut, capital of Lebanon, where the central point is the transformation process of a war-torn city into a modern, agile (relatively, in respect to the region), civilized, and automated intelligent city. Such projects are managed by intelligent city transformation managers (iCTM).

An Applied Mathematical Model for Business Transformation

2020 ◽  
pp. 248-297
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Enterprise Architecture ◽  
Business Case ◽  
Transformation Process ◽  
Business Enterprise ◽  
Proof Of Concept ◽  
Implementation Phase ◽  
Business Transformation ◽  
Decision Making System

The authors propose to use the holistic business system's risk assertion (HBSRA). The HBSRA supports a central decision-making system (DMS), projects, and enterprise architecture projects (EAP). The proof of concept (PoC) is based on applied business case from the insurance domain, where the central point is the transformation process of a traditional insurance enterprise into an agile and automated business enterprise. Such projects are managed by business transformation managers (manager or simply managers) who are supported with a methodology and a framework that can support and estimate the risks of implementation of projects. The manager is responsible for the implementation of the complex background of projects and during its implementation phase.

The Transformation and Enterprise Architecture Framework

2021 ◽  
pp. 80-127
Author(s):  
Antoine Trad
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
Research Method ◽  
Enterprise Architecture ◽  
Empirical Processes ◽  
Architecture Framework ◽  
Enterprise Architecture Framework

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.

Sign in / Sign up

Export Citation Format

Share Document