Home > Store

Art of Enterprise Information Architecture, The: A Systems-Based Approach for Unlocking Business Insight, Portable Documents

Register your product to gain access to bonus material or receive a coupon.

Art of Enterprise Information Architecture, The: A Systems-Based Approach for Unlocking Business Insight, Portable Documents

eBook (Watermarked)

  • Your Price: $50.59
  • List Price: $63.24
  • About Watermarked eBooks
  • This PDF will be accessible from your Account page after purchase and requires PDF reading software, such as Acrobat® Reader®.

    The eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours.

    Watermarked eBook FAQ


  • Copyright 2010
  • Dimensions: 7" x 9-1/8"
  • Pages: 480
  • Edition: 1st
  • eBook (Watermarked)
  • ISBN-10: 0-13-705463-7
  • ISBN-13: 978-0-13-705463-3

Architecture for the Intelligent Enterprise: Powerful New Ways to Maximize the Real-time Value of Information

Tomorrow’s winning “Intelligent Enterprises” will bring together far more diverse sources of data, analyze it in more powerful ways, and deliver immediate insight to decision-makers throughout the organization. Today, however, most companies fail to apply the information they already have, while struggling with the complexity and costs of their existing information environments.

In this book, a team of IBM’s leading information management experts guide you on a journey that will take you from where you are today toward becoming an “Intelligent Enterprise.”

Drawing on their extensive experience working with enterprise clients, the authors present a new, information-centric approach to architecture and powerful new models that will benefit any organization. Using these strategies and models, companies can systematically unlock the business value of information by delivering actionable, real-time information in context to enable better decision-making throughout the enterprise–from the “shop floor” to the “top floor.”

Coverage Includes

  • Highlighting the importance of Dynamic Warehousing
  • Defining your Enterprise Information Architecture from conceptual, logical, component, and operational views
  • Using information architecture principles to integrate and rationalize your IT investments, from Cloud Computing to Information Service Lifecycle Management
  • Applying enterprise Master Data Management (MDM) to bolster business functions, ranging from compliance and risk management to marketing and product management
  • Implementing more effective business intelligence and business performance optimization, governance, and security systems and processes
  • Understanding “Information as a Service” and “Info 2.0,” the information delivery side of Web 2.0

Sample Content

Table of Contents

Foreword by Ron Tolido  xix

Foreword by Dr. Kristof Kloeckner  xxi

Preface  xxiii

Acknowledgments  xxix

About the Authors  xxxi

Chapter 1 The Imperative for a New Approach to Information Architecture  1

1.1 External Forces: A New World of Volume, Variety, and Velocity  3

1.1.1 An Increasing Volume of Information  3

1.1.2 An Increasing Variety of Information  4

1.1.3 An Increasing Velocity of Information  4

1.2 Internal Information Environment Challenges  5

1.3 The Need for a New Enterprise Information Architecture  5

1.3.1 Leading the Transition to a Smarter Planet  6

1.4 The Business Vision for the Information-Enabled Enterprise  7

1.5 Building an Enterprise Information Strategy and the Information Agenda  12

1.5.1 Enterprise Information Strategy  13

1.5.2 Organizational Readiness and Information Governance  15

1.5.3 Information Infrastructure  16

1.5.4 Information Agenda Blueprint and Roadmap  17

1.6 Best Practices in Driving Enterprise Information Planning Success  19

1.6.1 Aligning the Information Agenda with Business Objectives  19

1.6.2 Getting Started Smartly  19

1.6.3 Maintaining Momentum  20

1.6.4 Implementing the Information Agenda  20

1.7 Relationship to Other Key Industry and IBM Concepts  20

1.8 The Roles of Business Strategy and Technology  22

1.9 References  22

Chapter 2 Introducing Enterprise Information Architecture  23

2.1 Terminology and Definitions  23

2.1.1 Enterprise Architecture  25

2.1.2 Conceptual Approach to EAI Reference Architecture  27

2.2 Methods and Models  36

2.2.1 Architecture Methodology  36

2.2.2 Information Maturity Model  38

2.3 Enterprise Information Architecture Reference Architecture in Context  41

2.3.1 Information On Demand  41

2.3.2 Information Agenda Approach  42

2.3.3 The Open Group Architecture Framework  44

2.3.4 Service-Oriented Architecture and Information as a Service  47

2.4 Conclusion  50

2.5 References  51

Chapter 3 Data Domains, Information Governance, and Information Security  53

3.1 Terminology and Definitions  53

3.2 Data Domains  55

3.2.1 Classification Criteria of the Conceptual Data Model  56

3.2.2 The Five Data Domains  60

3.2.3 Information Reference Model  63

3.3 IT Governance and Information Governance  64

3.4 Information Security and Information Privacy  67

3.4.1 Information Security  67

3.4.2 Information Privacy: The Increasing Need for Data Masking  70

3.5 System Context Diagram  74

3.7 References  74

Chapter 4 Enterprise Information Architecture: A Conceptual and Logical View  77

4.1 Conceptual Architecture Overview  77

4.1.1 Metadata Management Capability  79

4.1.2 Master Data Management Capability  79

4.1.3 Data Management Capability  80

4.1.4 Enterprise Content Management Capability  80

4.1.5 Analytical Applications Capability  81

4.1.6 Business Performance Management Capability  82

4.1.7 Enterprise Information Integration Capability  82

4.1.8 Mashup Capability  85

4.1.9 Information Governance Capability  85

4.1.10 Information Security and Information Privacy Capability  86

4.1.11 Cloud Computing Capability  86

4.2 EIA Reference Architecture–Architecture Overview Diagram  88

4.3 Architecture Principles for the EIA  90

4.4 Logical View of the EIA Reference Architecture  98

4.4.1 IT Services & Compliance Management Services Layer  99

4.4.2 Enterprise Information Integration Services  99

4.4.3 Information Services  99

4.4.4 Presentation Services and Delivery Channels  101

4.4.5 Information Security and Information Privacy  101

4.4.6 Connectivity and Interoperability  101

4.4.7 Business Process Orchestration and Collaboration  101

4.5 Conclusion  102

4.6 References  102

Chapter 5 Enterprise Information Architecture: Component Model  103

5.1 The Component Model  103

5.2 Component Relationship Diagram  105

5.3 Component Description  105

5.3.1 Delivery Channels and External Data Providers  106

5.3.2 Infrastructure Security Component  108

5.3.3 Presentation Services  109

5.3.4 Service Registry and Repository  112

5.3.5 Business Process Services  112

5.3.6 Collaboration Services  113

5.3.7 Connectivity and Interoperability Services  113

5.3.8 Directory and Security Services  114

5.3.9 Operational Applications  114

5.3.10 Mashup Hub  116

5.3.11 Metadata Management Component and Metadata Services  119

5.3.12 Master Data Management Component and MDM Services  121

5.3.13 Data Management Component and Data Services  124

5.3.14 Enterprise Content Management Component and Content Services  129

5.3.15 Analytical Applications Component and Analytical Services  131

5.3.16 Enterprise Information Integration Component and EII Services  134

5.3.17 IT Service & Compliance Management Services  138

5.4 Component Interaction Diagrams–A Deployment Scenario  139

5.4.1 Business Context  139

5.4.2 Component Interaction Diagram  141

5.4.3 Alternatives and Extensions  144

5.5 Conclusion  144

5.6 References  144

Chapter 6 Enterprise Information Architecture: Operational Model  147

6.1 Terminology and Definitions  147

6.1.1 Definition of Operational Model Levels  148

6.1.2 Terms of Operational Aspect  149

6.1.3 Key Design Concepts within Operational Modeling  149

6.2 Context of Operational Model Design Techniques  150

6.3 Service Qualities  152

6.3.1 Example of Operational Service Qualities  152

6.3.2 Relevance of Service Qualities per Data Domain  155

6.4 Standards Used for the Operational Model Relationship Diagram  155

6.4.1 Basic Location Types  155

6.4.2 Inter-Location Border Types  158

6.4.3 Access Mechanisms  158

6.4.4 Standards of Specified Nodes  158

6.4.5 Logical Operational Model Relationship Diagram  167

6.5 Framework of Operational Patterns  168

6.5.1 The Context of Operational Patterns  169

6.5.2 Near-Real-Time Business Intelligence Pattern  169

6.5.3 Data Integration and Aggregation Runtime Pattern  175

6.5.4 ESB Runtime for Guaranteed Data Delivery Pattern  176

6.5.5 Continuous Availability and Resiliency Pattern  179

6.5.6 Multi-Tier High Availability for Critical Data Pattern  181

6.5.7 Content Resource Manager Service Availability Pattern  184

6.5.8 Federated Metadata Pattern  185

6.5.9 Mashup Runtime and Security Pattern  186

6.5.10 Compliance and Dependency Management for Operational Risk Pattern  187

6.5.11 Retention Management Pattern  189

6.5.12 Encryption and Data Protection Pattern  191

6.5.13 File System Virtualization Pattern  194

6.5.14 Storage Pool Virtualization Pattern  195

6.5.15 Automated Capacity and Provisioning Management Pattern  195

6.6 Conclusion  198

6.7 References  198

Chapter 7 New Delivery Models: Cloud Computing  201

7.1 Definitions and Terms  201

7.2 Cloud Computing as Convergence of IT Principles  202

7.2.1 Key Drivers to Cloud Computing  203

7.2.2 Evolution to Cloud Computing  204

7.3 Cloud Computing as a New Paradigm  205

7.3.1 Typical Service Layers in Cloud Computing  205

7.3.2 The Nature of Cloud Computing Environments  207

7.4 Implication of Cloud Computing to Enterprise Information Services  209

7.4.1 Multi-Tenancy  209

7.4.2 Relevant Capabilities of EIS in a Cloud Environment  214

7.5 Cloud Computing–Architecture and Services Exploration  215

7.6 Business Scenario with Cloud Computing  216

7.6.1 Business Context  216

7.6.2 Component Interaction Diagram  217

7.7 Conclusion  221

7.8 References  221

Chapter 8 Enterprise Information Integration  223

8.1 Enterprise Information Integration–Terms, History, and Scope  223

8.2 Discover  224

8.2.1 Discover Capabilities  224

8.2.2 Discover Scenario  227

8.3 Profile  228

8.3.1 Profile Capabilities  228

8.3.2 Profile Scenario  230

8.4 Cleanse  232

8.4.1 Cleanse Capabilities  232

8.4.2 Cleanse Scenario  235

8.5 Transform  236

8.5.1 Transform Capabilities  236

8.5.2 Transform Scenario  237

8.6 Replicate  239

8.6.1 Replicate Capabilities  239

8.6.2 Replication Scenario  242

8.7 Federate  244

8.7.1 Federate Capabilities  244

8.7.2 Federation Scenario  246

8.8 Data Streaming  247

8.8.1 Data Streaming Capabilities  247

8.8.2 Data Streaming Scenario  251

8.9 Deploy  253

8.9.1 Deploy Capabilities  253

8.9.2 Deploy Scenario  254

8.10 Conclusion  256

8.11 References  256

Chapter 9 Intelligent Utility Networks  257

9.1 Business Scenarios and Use Cases of the IUN  258

9.1.1 Increasing Issues Concerning Electrical Energy  258

9.1.2 The Demand for New Business Models  259

9.1.3 Typical Use Cases  261

9.2 Architecture Overview Diagram  263

9.3 The Logical Component Model of the IUN  265

9.3.1 Power Grid Infrastructure  266

9.3.2 Data Transport Network and Communication  266

9.3.3 Enterprise Information Integration (EII) Services  267

9.3.4 Remote Meter Management and Access Services  268

9.3.5 Automated Billing and Meter Data Management  268

9.3.6 Enterprise Asset Management  268

9.3.7 Work Order Entry Component and Mobile Workforce Management  268

9.3.8 Customer Information and Insight with Portal Services  269

9.3.9 Outage Management System  269

9.3.10 Predictive and Advanced Analytical Services  269

9.3.11 Geographic Information System (GIS)   270

9.4 Component Interaction Diagram  270

9.4.1 Component Interaction Diagram: Smart Metering and Data Integration  271

9.4.2 Component Interaction Diagram: Asset and Location Mashup Services  272

9.4.3 Component Interaction Diagram: PDA Data Replication Services  273

9.5 Service Qualities for IUN Solutions  274

9.5.1 Functional Service Qualities  274

9.5.2 Operational Service Qualities  275

9.5.3 Security Management Qualities  275

9.5.4 Maintainability Qualities  276

9.6 Applicable Operational Patterns  277

9.7 Conclusion  278

9.8 References  279

Chapter 10 Enterprise Metadata Management  281

10.1 Metadata Usage Maturity Levels  281

10.2 Terminology and Definitions  282

10.2.1 EIA Metadata Definition  283

10.2.2 What Is Metadata Management?   287

10.2.3 End-to-End Metadata Management  289

10.3 Business Scenarios  289

10.3.1 Business Patterns  289

10.3.2 Use Case Scenarios  290

10.4 Component Deep Dive  291

10.4.1 Component Model Introduction  291

10.4.2 Component Descriptions  292

10.4.3 Component Relationship Diagrams  293

10.5 Component Interaction Diagram–Deployment Scenario  294

10.5.1 Business Context  295

10.5.2 Component Interaction Diagram  295

10.6 Service Qualities for Metadata Management  298

10.7 Applicable Operational Patterns  300

10.8 IBM Technology Mapping  302

10.8.1 IBM Technology Overview  302

10.8.2 Scenario Description Using IBM Technology  303

10.9 Conclusion  305

10.10 References  306

Chapter 11 Master Data Management  307

11.1 Introduction and Terminology  307

11.1.1 Registry Implementation Style  308

11.1.2 Coexistence Implementation Style  309

11.1.3 Transactional Hub Implementation Style  309

11.1.4 Comparison of the Implementation Styles  310

11.1.5 Importance of Information Governance for MDM   311

11.2 Business Scenarios  311

11.3 Component Deep Dive  313

11.3.1 Interface Services  314

11.3.2 Lifecycle Management  314

11.3.3 Hierarchy and Relationship Management Services  315

11.3.4 MDM Event Management Services  316

11.3.5 Authoring Services  316

11.3.6 Data Quality Management Services  316

11.3.7 Base Services  317

11.4 Component Interaction Diagram  318

11.5 Service Qualities  323

11.5.1 MDM Security  323

11.5.2 Privacy  325

11.6 Applicable Operational Patterns  326

11.7 Conclusion  327

11.8 References  328

Chapter 12 Information Delivery in a Web 2.0 World  329

12.1 Web 2.0 Introduction to Mashups  329

12.2 Business Drivers  330

12.2.1 Information Governance and Architectural Considerations for Mashups  335

12.3 Architecture Overview Diagram  336

12.4 Component Model Diagram  338

12.5 Component Interaction Diagrams  340

12.5.1 Component Interaction Diagrams–Deployment Scenarios  343

12.6 Service Qualities for Mashup Solutions  345

12.7 Mashup Deployment–Applicable Operational Patterns  349

12.7.1 Scenario 1: Simple Deployment Model  349

12.7.2 Scenario 2: High Availability Model  350

12.7.3 Scenario 3: Near-Real-Time Model  353

12.8 IBM Technologies  354

12.8.1 Lotus Mashups  355

12.8.2 InfoSphere Mashup Hub  355

12.8.3 WebSphere sMash  355

12.9 Conclusion  356

12.10 References  357

Chapter 13 Dynamic Warehousing  359

13.1 Infrastructure for Dynamic Warehousing  360

13.1.1 Dynamic Warehousing: Extending the Traditional Data Warehouse Approach  361

13.2 Business Scenarios and Patterns  370

13.2.1 Practical Business Applications  371

13.3 Component Interaction Diagrams–Deployment Scenarios  372

13.3.1 Dynamic Pricing in the Financial Industry  372

13.3.2 Addressing Customer Attrition/Churn  377

13.4 Conclusion  381

13.5 References  381

Chapter 14 New Trends in Business Analytics and Optimization  383

14.1 A New Approach to Business Performance Management  384

14.1.1 A Framework for Business Analytics and Business Optimization  385

14.1.2 Performance Metrics  387

14.2 Business Scenario, Business Patterns, and Use Case  387

14.2.1 Banking Use Case  388

14.3 Component Interaction Diagrams–Deployment Scenarios  389

14.3.1 Predictive Analytics in Health Care  390

14.3.2 Optimizing Decisions in Banking and Financial Services–Trading  394

14.3.3 Improved ERM for Banking and Financial Services  397

14.4 Conclusion  402

14.5 References  403

Glossary  405

Index  415

Appendixes can be found online at www.ibmpressbooks.com/artofeia

Appendix A: Software Product Mapping  1

Appendix B: Standards and Specifications  19

Appendix C: Regulations  33


Submit Errata

More Information

InformIT Promotional Mailings & Special Offers

I would like to receive exclusive offers and hear about products from InformIT and its family of brands. I can unsubscribe at any time.


Pearson Education, Inc., 221 River Street, Hoboken, New Jersey 07030, (Pearson) presents this site to provide information about products and services that can be purchased through this site.

This privacy notice provides an overview of our commitment to privacy and describes how we collect, protect, use and share personal information collected through this site. Please note that other Pearson websites and online products and services have their own separate privacy policies.

Collection and Use of Information

To conduct business and deliver products and services, Pearson collects and uses personal information in several ways in connection with this site, including:

Questions and Inquiries

For inquiries and questions, we collect the inquiry or question, together with name, contact details (email address, phone number and mailing address) and any other additional information voluntarily submitted to us through a Contact Us form or an email. We use this information to address the inquiry and respond to the question.

Online Store

For orders and purchases placed through our online store on this site, we collect order details, name, institution name and address (if applicable), email address, phone number, shipping and billing addresses, credit/debit card information, shipping options and any instructions. We use this information to complete transactions, fulfill orders, communicate with individuals placing orders or visiting the online store, and for related purposes.


Pearson may offer opportunities to provide feedback or participate in surveys, including surveys evaluating Pearson products, services or sites. Participation is voluntary. Pearson collects information requested in the survey questions and uses the information to evaluate, support, maintain and improve products, services or sites, develop new products and services, conduct educational research and for other purposes specified in the survey.

Contests and Drawings

Occasionally, we may sponsor a contest or drawing. Participation is optional. Pearson collects name, contact information and other information specified on the entry form for the contest or drawing to conduct the contest or drawing. Pearson may collect additional personal information from the winners of a contest or drawing in order to award the prize and for tax reporting purposes, as required by law.


If you have elected to receive email newsletters or promotional mailings and special offers but want to unsubscribe, simply email information@informit.com.

Service Announcements

On rare occasions it is necessary to send out a strictly service related announcement. For instance, if our service is temporarily suspended for maintenance we might send users an email. Generally, users may not opt-out of these communications, though they can deactivate their account information. However, these communications are not promotional in nature.

Customer Service

We communicate with users on a regular basis to provide requested services and in regard to issues relating to their account we reply via email or phone in accordance with the users' wishes when a user submits their information through our Contact Us form.

Other Collection and Use of Information

Application and System Logs

Pearson automatically collects log data to help ensure the delivery, availability and security of this site. Log data may include technical information about how a user or visitor connected to this site, such as browser type, type of computer/device, operating system, internet service provider and IP address. We use this information for support purposes and to monitor the health of the site, identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents and appropriately scale computing resources.

Web Analytics

Pearson may use third party web trend analytical services, including Google Analytics, to collect visitor information, such as IP addresses, browser types, referring pages, pages visited and time spent on a particular site. While these analytical services collect and report information on an anonymous basis, they may use cookies to gather web trend information. The information gathered may enable Pearson (but not the third party web trend services) to link information with application and system log data. Pearson uses this information for system administration and to identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents, appropriately scale computing resources and otherwise support and deliver this site and its services.

Cookies and Related Technologies

This site uses cookies and similar technologies to personalize content, measure traffic patterns, control security, track use and access of information on this site, and provide interest-based messages and advertising. Users can manage and block the use of cookies through their browser. Disabling or blocking certain cookies may limit the functionality of this site.

Do Not Track

This site currently does not respond to Do Not Track signals.


Pearson uses appropriate physical, administrative and technical security measures to protect personal information from unauthorized access, use and disclosure.


This site is not directed to children under the age of 13.


Pearson may send or direct marketing communications to users, provided that

  • Pearson will not use personal information collected or processed as a K-12 school service provider for the purpose of directed or targeted advertising.
  • Such marketing is consistent with applicable law and Pearson's legal obligations.
  • Pearson will not knowingly direct or send marketing communications to an individual who has expressed a preference not to receive marketing.
  • Where required by applicable law, express or implied consent to marketing exists and has not been withdrawn.

Pearson may provide personal information to a third party service provider on a restricted basis to provide marketing solely on behalf of Pearson or an affiliate or customer for whom Pearson is a service provider. Marketing preferences may be changed at any time.

Correcting/Updating Personal Information

If a user's personally identifiable information changes (such as your postal address or email address), we provide a way to correct or update that user's personal data provided to us. This can be done on the Account page. If a user no longer desires our service and desires to delete his or her account, please contact us at customer-service@informit.com and we will process the deletion of a user's account.


Users can always make an informed choice as to whether they should proceed with certain services offered by InformIT. If you choose to remove yourself from our mailing list(s) simply visit the following page and uncheck any communication you no longer want to receive: www.informit.com/u.aspx.

Sale of Personal Information

Pearson does not rent or sell personal information in exchange for any payment of money.

While Pearson does not sell personal information, as defined in Nevada law, Nevada residents may email a request for no sale of their personal information to NevadaDesignatedRequest@pearson.com.

Supplemental Privacy Statement for California Residents

California residents should read our Supplemental privacy statement for California residents in conjunction with this Privacy Notice. The Supplemental privacy statement for California residents explains Pearson's commitment to comply with California law and applies to personal information of California residents collected in connection with this site and the Services.

Sharing and Disclosure

Pearson may disclose personal information, as follows:

  • As required by law.
  • With the consent of the individual (or their parent, if the individual is a minor)
  • In response to a subpoena, court order or legal process, to the extent permitted or required by law
  • To protect the security and safety of individuals, data, assets and systems, consistent with applicable law
  • In connection the sale, joint venture or other transfer of some or all of its company or assets, subject to the provisions of this Privacy Notice
  • To investigate or address actual or suspected fraud or other illegal activities
  • To exercise its legal rights, including enforcement of the Terms of Use for this site or another contract
  • To affiliated Pearson companies and other companies and organizations who perform work for Pearson and are obligated to protect the privacy of personal information consistent with this Privacy Notice
  • To a school, organization, company or government agency, where Pearson collects or processes the personal information in a school setting or on behalf of such organization, company or government agency.


This web site contains links to other sites. Please be aware that we are not responsible for the privacy practices of such other sites. We encourage our users to be aware when they leave our site and to read the privacy statements of each and every web site that collects Personal Information. This privacy statement applies solely to information collected by this web site.

Requests and Contact

Please contact us about this Privacy Notice or if you have any requests or questions relating to the privacy of your personal information.

Changes to this Privacy Notice

We may revise this Privacy Notice through an updated posting. We will identify the effective date of the revision in the posting. Often, updates are made to provide greater clarity or to comply with changes in regulatory requirements. If the updates involve material changes to the collection, protection, use or disclosure of Personal Information, Pearson will provide notice of the change through a conspicuous notice on this site or other appropriate way. Continued use of the site after the effective date of a posted revision evidences acceptance. Please contact us if you have questions or concerns about the Privacy Notice or any objection to any revisions.

Last Update: November 17, 2020