An Applied Mathematical Model for Business Transformation and Enterprise Architecture: Introduction and Basics (Int&Bas)

An Applied Mathematical Model for Business Transformation and Enterprise Architecture: Introduction and Basics (Int&Bas)

Copyright: © 2020 |Pages: 25
DOI: 10.4018/978-1-7998-1009-4.ch001

Abstract

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).
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Background

An HMM instance, can be used to implement a holistic decision-making system that can integrate in the enterprise’s information and communication technology and business environments to form optimal enterprise and business architecture blueprints. The HMM uses a behaviour-driven development environment or a natural language programming that can be easily adopted by the project’s development teams, who may not be computer scientists (Myers, Pane, & Ko, 2004; Kim & Kim, 1999; Della Croce & T'kindt, 2002). 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 (Farhoomand, 2004). 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). The HMM is based on many real-life cases and uses a real-world model to be used in a large variety of fields like: 1) business transformation projects; 2) business engineering projects; 3) decision making projects; 4) organisational engineering; 5) asset and resources management; and 5) enterprise architecture development procedures. This book recommends that the ICS’s Decision Making System (DMS) uses the HMM to solve problems by offering a set of possible solutions in the form of enterprise architecture, business operations, managerial and technical recommendations, for any type of problem in any business or generic field; where this book covers some fields, other fields like finance are covered in other authors’ articles. The DMS’ proposed solutions in 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 business environment; and it surpasses the business environment’s actual archaic decision making systems. Concerning the audience, holisitical approaches and multi-functional frameworks supports a wide range of audience and the authors would like to avoid a siloed approach of detailing the targets and audience ranges, because they estimate that the book would be on the levels of basics, like computer programming or excel editing…

Key Terms in this Chapter

ML: Mathematical language.

Project: Business transformation project.

NLP: Natural language programming.

ADM: Architecture development method.

DMP: Decision-making process.

ICs: Information and communication system.

MFD: Model first-driven.

TOGAF: The Open Group’s architecture framework.

Manager: Business transformation manager, in this research and framework.

MM: Mathematical model.

JEE: Java extended edition.

EA: Enterprise architecture; aims to simplify the information systems (IS) of a company, and to reduce the cost of IS development and evolution.

DMS: Decision-making system.

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