An Applied Mathematical Model for Business Transformation and Enterprise Architecture: The Applied Case Study (ACS)

An Applied Mathematical Model for Business Transformation and Enterprise Architecture: The Applied Case Study (ACS)

Copyright: © 2020 |Pages: 41
DOI: 10.4018/978-1-7998-1009-4.ch002
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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.
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Actual archaic Projects are managed as separate black-boxes that are isolated silos where their internal and external components create a messy hairball that is called the enterprise’s Information and Communication System (ICS) (Desmond, 2013). The ACS/PoC can be used to present the feasibility of the implementation of the HMM for Projects in a variety of application fields, like: 1) Projects; 2) business engineering projects; 3) EAPs; and 4) other ... This book’s chapter recommends that the resultant ICS’s Decision Making System (DMS) uses the HMM instance to solve ACS problems by offering a set of possible solutions in the form of architecture, managerial and technical recommendations or blueprints. The ACS’s proposed solutions, which have the form of technical and managerial recommendations, can be applied by the business environment’s architects, business managers, business analysts and project engineers to enforce the implementation of the Projects. Such projects should surpass the in business environment currently used archaic PoCs. This book chapter’s authors based their research model mainly on intelligent neural networks which can execute specific calls to quantitative modules and is supported by ICS driven development models, where both disciplines, applied mathematics and ICS models are complementary, due to the use of many existing industry standards, like for example the Architecture Development Method (ADM) (The Open Group, 2011a; Tidd & Bessant, 2009). The HMM holistic concept is mainly business driven and is agnostic to a specific business environment’s technical internals. As shown in Figure 1, it has been decided by the authors that this genuine research framework should be founded on artificial intelligent artefacts that in turn are based on existing technology standards (Johnson & Onwuegbuzie, 2004).

Key Terms in this Chapter

ICT: Information and communication technologies.

ADM: Architecture development method.

JEE: Java extended edition.

CRM: Client relationship management.

MM: Mathematical model.

CSA: Critical success area.

ACS: Applied case study.

NLP: Natural language programming.

RAD: Rapid application development.

RQ: Research question.

AMM: Applied mathematical model.

SSC: Shared service centre.

TKM&F: Trad Kalpic methodology and framework.

EAP: Enterprise architecture project.

TMM: Transformation mathematical model.

DMS: Decision-making system.

ML: Mathematical language.

TKM: Trad Kalpic methodology.

TOGAF: The Open Group’s architecture framework.

Project: Business transformation project and enterprise architecture project.

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