An Applied Mathematical Model for Business Transformation and Enterprise Architecture: The Enterprise Architecture's Integration Pattern for a Proof of Concept (EAP4PoC)

Introduction

The proposed concept is mainly based on research, design and development on: 1) business and technical architecture case studies; 2) enterprise architecture and optimization; 3) continuous business and technical transformations; 4) applied mathematics/models represented in the HMM; 5) software architecture and modelling; 6) business architecture and implementation engineering; 7) financial/audit intelligent analysis (and not looting initiatives); 8) decision making systems and AI; 9) standardized architecture methodologies; and 10) integrated enterprise architecture as a central concept. The EAP4PoC is based on an authentic and proprietary research method that is supported by an underlining mainly qualitative holistic reasoning module that is explained in this series’ research and development project management (Trad & Kalpić, 2019b). The EAP4PoC is an AI/empirical process that uses a natural language environment, which can be easily adapted by the architecture teams (Trad & Kalpić, 2019b; Myers, Pane & Ko, 2004; Kim & Kim, 1999; Della Croce & T'kindt, 2002; Trad & Kalpić, 2017a, 2017b, 2017c, 2017d; Gunasekare, 2015). The EAP4PoC is implemented to check the feasibility of the proposed concept, using the HMM and CSFs approaches. The EAP4PoC supports Business Transformation Projects (BTP) and Enterprise Architecture Projects (EAP) (or simply Projects). This chapter is supported mainly by an adapted fictious case from the insurance domain (Jonkers, Band & Quartel, 2012a). 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 (Farhoomand, 2004). The adaptable Management System (aMS), which is described in a separate chapter (Trad & Kalpić, 2019f), and Decision Making System (DMS) are used in a 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 and avant-garde methodologies. The “i” prefix, which will be used later in this text, does not stand just for the common intelligent agile environments but for a distributed and holistic intelligent architecture concept’s approach that identifies this work’s background; and “a” will stand for artefacts. This research project’s main and overall keywords are: 1) EAP4PoC and aKMS concepts; 2) existing standard enterprise architecture frameworks; 3) business transformation projects; 4) business transformation manager’s profile; 5) applied mathematical model; 6) neural networks; 7) holisms and global concept; 8) risk management; 9) decision making systems; 10) artificial intelligence; 11) knowledge management systems; and 12) transformation and innovation, iterative approaches. Using the scholar engine, in Google’s online search portal, in which the authors combined the previously mentioned keywords and key topics; the results have shown very clearly the uniqueness and the absolute lead of the authors’ framework, methodology, research and works (Trad & Kalpić, 2019b). From this point of view and facts, the authors consider their works on the mentioned topics as innovative, credible and useful; so the main topics will be introduced. HMM for Projects offers an internal natural language development (for scripting and prototyping) environment that can be adopted by any Project to manage the relationships between the EAP4PoC, patterns, microartefacts and aMS, as shown in Figure 2.

Figure 1.

The relation between the patterns, microartefacts and end system