An Applied Mathematical Model for Business Transformation and Enterprise Architecture

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

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

The business and societal transformation project (B&STP) of a modern business and global environment needs a well-designed holistic global security management system (HGSMS) 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 were not efficient. That is mainly due to the fact that businesses depend on security standards, law, cyber and information technology evolution, enterprise architecture, business engineering, and multilevel interoperability. They are restricted to blindfolded infrastructure security operations and/or martial like legal cases. Major B&STPs are brutally wrecked by various security violations that may cause a no-go decision. Most of such security misfits are used for internal politics, while highly important issues and teams' problems are simply ignored.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture Projects

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

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

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

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.

An Applied Mathematical Model for Business Transformation

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.

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

The HMM-based framework offers such a high-level implementation environment that can be used by any transformation team member without any prior specific schooling or advanced mathematics models. The HMM can be used to implement and design enterprise architecture blueprints, business transformation projects or decision-making systems, mathematical models, algorithms, and it is supported by many real-life cases of various business domains. The uniqueness of this research is that the HMM promotes a holistic unbundling and the alignment of various enterprise architecture standards and strategies to support business transformation processes. Actual archaic business, information technology, and generic transformation processes are managed as separate black boxes in isolated silos, where their internal and external components create a messy hairball that is called the enterprise's information and communication system (ICS).

An Applied Mathematical Model for Business Transformation and Enterprise Architecture

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.