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 Business, Societal, and Enterprise Architecture Framework

2021 ◽  
pp. 447-490
Author(s):  
Antoine Trad
Keyword(s):  
Decision Making ◽  
Data Science ◽  
Enterprise Architecture ◽  
Business Environment ◽  
Transformation Process ◽  
Business Transformation ◽  
Architecture Framework ◽  
Decision Making System ◽  
Enterprise Architecture Framework ◽  
Using Data

In this chapter, the author presents an artificial intelligence (AI)-based generic concept for decision making using data science. The applied holistic mathematical model for AI (AHMM4AI) focuses on data and access management. A decisive business decision in a business transformation process of a traditional business environment into an automated AI-based business environment is the capacity of the decision-making system and the profile of the business transformation manager (BTM, or simply the manager). The manager and his team are supported by a holistic framework. The role of data science and the needed data modelling techniques are essential for managing data models in a transformation project. For that reason, the development of the big data for AI (BGD4AI) is an essential start.

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.

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. 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.

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. 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.

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.

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.

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