Authors: Inji Wijegunaratne, George Fernandez, Peter Evans-Greenwood

Enterprise Architecture for Business Success

eBook: US $49 Special Offer (PDF + Printed Copy): US $156
Printed Copy: US $131
Library License: US $196
ISBN: 978-1-60805-957-7 (Print)
ISBN: 978-1-60805-956-0 (Online)
Year of Publication: 2014
DOI: 10.2174/97816080595601140101

Introduction

Enterprise Architecture (EA) has evolved to become a prominent presence in today’s information systems and technology landscape. The EA discipline is rich in frameworks, methodologies, and the like. However, the question of ‘value’ for business ;professionals remains largely unanswered – that is, how best can Enterprise Architecture and Enterprise Architects deliver value to the enterprise? Enterprise Architecture for Business Success answers this question.

Enterprise Architecture for Business Success is primarily intended for IT professionals working in the area of Enterprise Architecture. The eBook gives practical insights into what constitutes EA and how it might be practiced in a typical resource constrained business environment.

The contents of the eBook include a brief guideline about EA systems and terminology, followed by notes on how to design enterprise systems in line with business strategies. The eBook also presents case studies which help to demonstrate the distance between theory and reality when it comes to optimizing IT infrastructure for successfully achieving business goals.

Lengthy theoretical discussions are avoided in favor of focusing more on the practice and tools of EA. Readers will find value in this eBook, whether they are an IT consultant or a manager, an EA team lead or member, or just someone keen to learn about real-world EA.

Indexed in: Book Citation Index, Science Edition, Social Sciences & Humanities, EBSCO.

ADD A COMMENT

Your Rating *

RELATED BOOKS

.Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms.
.Arduino and SCILAB based Projects.
.Arduino meets MATLAB: Interfacing, Programs and Simulink.
.Budget Optimization and Allocation: An Evolutionary Computing Based Model.