Home > Articles > Information Technology

The Art of Enterprise Information Architecture: Best Practices and Tips to Derive Business Insight

  • Print
  • + Share This
Eberhard Hechler, a coauthor of The Art of Enterprise Information Architecture: A Systems-Based Approach for Unlocking Business Insight, provides a guided tour of the book. He points out recent changes in the business world that led to the need for this book, details the important concepts covered within its pages, and discusses the value that the book provides to business readers.
Like this article? We recommend

In this article, I'll introduce you to the structure and key concepts of the book The Art of Enterprise Information Architecture: A Systems-Based Approach for Unlocking Business Insight. I'll also highlight some of the best practices and tips to derive business insight from the diverse and often huge source of data and information that exists in today's enterprises. By pointing out relevant themes, models, concepts, and aspects of the underlying Enterprise Information Architecture (EIA) Reference Architecture (introduced in the book), I'll show you how to put into perspective some of the emerging trends in chosen industries.


This book is designed to reach out to a very wide client audience on a global basis, leveraging IBM's vision and products in the Information Management area. It covers next-generation sales plays of IBM's Smarter Planet and Intelligent Enterprise vision, in addition to "Information Agenda" and "Information on Demand" themes. The book contains forewords by Ron Tolido, renowned speaker on innovation in IT and Chief Technology Officer (CTO) for Capgemini's Northern Europe and Asia Pacific regions, who has also published several books on software engineering; and Dr. Kristof Kloeckner, IBM's CTO, Enterprise Initiatives and Vice President, Cloud Computing Platforms.

The book's early chapters cover the imperative for a new approach to information architecture; an introduction to Enterprise Information Architecture; and data domains, information governance, and information security. Next, we focus on Enterprise Information Architecture, giving a conceptual and logical view as well as a component and an operational model. The final chapters cover new delivery models such as cloud computing, enterprise information integration, and intelligent utility networks.

Writing the book was truly a global effort, as the writing team comprised a total of six employees from different IBM organizations, such as Information Management Research & Development, Global Technology and Business Services, and IBM's Software Group Services. The scope of skills of this author team contributed significantly to the breadth and depth of the topics that are covered in the book.

Let me briefly introduce you to the author team:

  • Mario Godinez, IBM Senior Certified IT Architect (SCITA) and Executive IT Architect, Information Agenda/IOD Architecture, IBM Sales & Distribution, Software Sales, IBM Toronto Software Lab, has spent more than 15 years helping IBM customers architect and implement complex enterprise solutions.
  • Eberhard Hechler, SCITA, Executive IT Architect, Member IBM Academy of Technology, IBM Software Group, Information Management Integration & Solutions Engineering, IBM Boblingen R&D Lab, is the author of this article.
  • Klaus König, IBM Distinguished Engineer, Global Technology Services, IMT Germany, leads major IBM initiatives in cloud computing, green IT, service lifecycle management, and IT process automation.
  • Steve Lockwood, SCITA, Executive Information Architect/Consultant, IBM Software Group, Information Management, has 20 years of experience building information-related solutions.
  • Martin Oberhofer, Architect for Enterprise Information Architecture, IOD, IA, InfoSphere, MDM, SAP, IBM Software Group, Information Management, IBM Boeblingen R&D Lab, has also written for InformIT.
  • Michael Schroeck, Partner, Global Leader-BAO Analytics Solutions Team and CoC, Global Business Services, specializes in designing and implementing large, complex BI/IOD solutions.
  • + Share This
  • 🔖 Save To Your Account