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

Introduction

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).