The art of enterprise information architecture : a systems-based approach for unlocking business insight

Title:

Publication Information:

Upper Saddle River, NJ : IBM Press, Pearson, c2010

Physical Description:

xxxiv, 439 p. : ill. ; 24 cm.

ISBN:

9780137035717

Subject Term:

Information technology -- Management

Management information systems

Business enterprises -- Computer networks -- Security measures

Information technology -- Security measures

Added Author:

Godinez, Mario

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Library	Item Barcode	Call Number	Material Type	Item Category 1	Status
Searching... PSZ JB	30000010267226	HD30.2 A784 2010	Open Access Book	Book	Searching... Unknown

Summary

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

nbsp;

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.

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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."

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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."

nbsp;

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

Author Notes

Mario Godinez , Executive IT Architect and IBM Senior Certified IT Architect (SCITA) within IBM's Worldwide Information On Demand Architecture team, has spent 15+ years helping IBM customers architect and implement complex enterprise solutions.

Eberhard Hechler is an IBM Executive IT Architect and SCITA within the IBM Information Management Advanced Engagement Team and a member of the IBM Academy of Technology.

Klaus Koenig , an IBM Distinguished Engineer, leads major IBM initiatives in Cloud Computing, Green IT, service lifecycle management, and IT process automation.

Steve Lockwood works in the IBM Software Group as an Executive Architect and IBM SCITA and has 20 years experience in building information-related solutions.

Martin Oberhofer works in the IBM Software Group as an Architect for Enterprise Information Architecture with clients worldwide.

Michael Schroeck , a partner and the Global Business Intelligence (BI) and Information on Demand (IOD) Leader for IBM, Global Business Services, specializes in designing and implementing large, complex BI/IOD solutions.

Ron TolidoDr Kristof Kloeckner

Foreword	p. xix
Foreword	p. xxi
Preface	p. xxiii
Acknowledgments	p. xxix
About the Authors	p. xxxi
Chapter 1 The Imperative for a New Approach to Information Architecture	p. 1
1.1 External Forces: A New World of Volume, Variety, and Velocity	p. 3
1.1.1 An Increasing Volume of Information	p. 3
1.1.2 An Increasing Variety of Information	p. 4
1.1.3 An Increasing Velocity of Information	p. 4
1.2 Internal Information Environment Challenges	p. 5
1.3 The Need for a New Enterprise Information Architecture	p. 5
1.3.1 Leading the Transition to a Smarter Planet	p. 6
1.4 The Business Vision for the Information-Enabled Enterprise	p. 7
1.5 Building an Enterprise Information Strategy and the Information Agenda	p. 12
1.5.1 Enterprise Information Strategy	p. 13
1.5.2 Organizational Readiness and Information Governance	p. 15
1.5.3 Information Infrastructure	p. 16
1.5.4 Information Agenda Blueprint and Roadmap	p. 17
1.6 Best Practices in Driving Enterprise Information Planning Success	p. 19
1.6.1 Aligning the Information Agenda with Business Objectives	p. 19
1.6.2 Getting Started Smartly	p. 19
1.6.3 Maintaining Momentum	p. 20
1.6.4 Implementing the Information Agenda	p. 20
1.7 Relationship to Other Key Industry and IBM Concepts	p. 20
1.8 The Roles of Business Strategy and Technology	p. 22
1.9 References	p. 22
Chapter 2 Introducing Enterprise Information Architecture	p. 23
2.1 Terminology and Definitions	p. 23
2.1.1 Enterprise Architecture	p. 25
2.1.2 Conceptual Approach to EAI Reference Architecture	p. 27
2.2 Methods and Models	p. 36
2.2.1 Architecture Methodology	p. 36
2.2.2 Information Maturity Model	p. 38
2.3 Enterprise Information Architecture Reference Architecture in Context	p. 41
2.3.1 Information on Demand	p. 41
2.3.2 Information Agenda Approach	p. 42
2.3.3 The Open Group Architecture Framework	p. 44
2.3.4 Service-Oriented Architecture and Information as a Service	p. 47
2.4 Conclusion	p. 50
2.5 References	p. 51
Chapter 3 Data Domains, Information Governance, and Information Security	p. 53
3.1 Terminology and Definitions	p. 53
3.2 Data Domains	p. 55
3.2.1 Classification Criteria of the Conceptual Data Model	p. 56
3.2.2 The Five Data Domains	p. 60
3.2.3 Information Reference Model	p. 63
3.3 IT Governance and Information Governance	p. 64
3.4 Information Security and Information Privacy	p. 67
3.4.1 Information Security	p. 67
3.4.2 Information Privacy: the Increasing Need for Data Masking	p. 70
3.5 System Context Diagram	p. 74
3.7 References	p. 74
Chapter 4 Enterprise Information Architecture: A Conceptual and Logical View	p. 77
4.1 Conceptual Architecture Overview	p. 77
4.1.1 Metadata Management Capability	p. 79
4.1.2 Master Data Management Capability	p. 79
4.1.3 Data Management Capability	p. 80
4.1.4 Enterprise Content Management Capability	p. 80
4.1.5 Analytical Applications Capability	p. 81
4.1.6 Business Performance Management Capability	p. 82
4.1.7 Enterprise Information Integration Capability	p. 82
4.1.8 Mashup Capability	p. 85
4.1.9 Information Governance Capability	p. 85
4.1.10 Information Security and Information Privacy Capability	p. 86
4.1.11 Cloud Computing Capability	p. 86
4.2 EIA Reference Architecture-Architecture Overview Diagram	p. 88
4.3 Architecture Principles for the EIA	p. 90
4.4 Logical View of the EIA Reference Architecture	p. 98
4.4.1 IT Services & Compliance Management Services Layer	p. 99
4.4.2 Enterprise Information Integration Services	p. 99
4.4.3 Information Services	p. 99
4.4.4 Presentation Services and Delivery Channels	p. 101
4.4.5 Information Security and Information Privacy	p. 101
4.4.6 Connectivity and Interoperability	p. 101
4.4.7 Business Process Orchestration and Collaboration	p. 101
4.5 Conclusion	p. 102
4.6 References	p. 102
Chapter 5 Enterprise Information Architecture: Component Model	p. 103
5.1 The Component Model	p. 103
5.2 Component Relationship Diagram	p. 105
5.3 Component Description	p. 105
5.3.1 Delivery Channels and External Data Providers	p. 106
5.3.2 Infrastructure Security Component	p. 108
5.3.3 Presentation Services	p. 109
5.3.4 Service Registry and Repository	p. 112
5.3.5 Business Process Services	p. 112
5.3.6 Collaboration Services	p. 113
5.3.7 Connectivity and Interoperability Services	p. 113
5.3.8 Directory and Security Services	p. 114
5.3.9 Operational Applications	p. 114
5.3.10 Mashup Hub	p. 116
5.3.11 Metadata Management Component and Metadata Services	p. 119
5.3.12 Master Data Management Component and MDM Services	p. 121
5.3.13 Data Management Component and Data Services	p. 124
5.3.14 Enterprise Content Management Component and Content Services	p. 129
5.3.15 Analytical Applications Component and Analytical Services	p. 131
5.3.16 Enterprise Information Integration Component and EII Services	p. 134
5.3.17 IT Service & Compliance Management Services	p. 138
5.4 Component Interaction Diagrams-A Deployment Scenario	p. 139
5.4.1 Business Context	p. 139
5.4.2 Component Interaction Diagram	p. 141
5.4.3 Alternatives and Extensions	p. 144
5.5 Conclusion	p. 144
5.6 References	p. 144
Chapter 6 Enterprise Information Architecture: Operational Model	p. 147
6.1 Terminology and Definitions	p. 147
6.1.1 Definition of Operational Model Levels	p. 148
6.1.2 Terms of Operational Aspect	p. 149
6.1.3 Key Design Concepts within Operational Modeling	p. 149
6.2 Context of Operational Model Design Techniques	p. 150
6.3 Service Qualities	p. 152
6.3.1 Example of Operational Service Qualities	p. 152
6.3.2 Relevance of Service Qualities per Data Domain	p. 155
6.4 Standards Used for the Operational Model Relationship Diagram	p. 155
6.4.1 Basic Location Types	p. 155
6.4.2 Inter-Location Border Types	p. 158
6.4.3 Access Mechanisms	p. 158
6.4.4 Standards of Specified Nodes	p. 158
6.4.5 Logical Operational Model Relationship Diagram	p. 167
6.5 Framework of Operational Patterns	p. 168
6.5.1 The Context of Operational Patterns	p. 169
6.5.2 Near-Real-Time Business Intelligence Pattern	p. 169
6.5.3 Data Integration and Aggregation Runtime Pattern	p. 175
6.5.4 ESB Runtime for Guaranteed Data Delivery Pattern	p. 176
6.5.5 Continuous Availability and Resiliency Pattern	p. 179
6.5.6 Multi-Tier High Availability for Critical Data Pattern	p. 181
6.5.7 Content Resource Manager Service Availability Pattern	p. 184
6.5.8 Federated Metadata Pattern	p. 185
6.5.9 Mashup Runtime and Security Pattern	p. 186
6.5.10 Compliance and Dependency Management for Operational Risk Pattern	p. 187
6.5.11 Retention Management Pattern	p. 189
6.5.12 Encryption and Data Protection Pattern	p. 191
6.5.13 File System Virtualization Pattern	p. 194
6.5.14 Storage Pool Virtualization Pattern	p. 195
6.5.15 Automated Capacity and Provisioning Management Pattern	p. 195
6.6 Conclusion	p. 198
6.7 References	p. 198
Chapter 7 New Delivery Models: Cloud Computing	p. 201
7.1 Definitions and Terms	p. 201
7.2 Cloud Computing as Convergence of IT Principles	p. 202
7.2.1 Key Drivers to Cloud Computing	p. 203
7.2.2 Evolution to Cloud Computing	p. 204
7.3 Cloud Computing as a New Paradigm	p. 205
7.3.1 Typical Service Layers in Cloud Computing	p. 205
7.3.2 The Nature of Cloud Computing Environments	p. 207
7.4 Implication of Cloud Computing to Enterprise Information Services	p. 209
7.4.1 Multi-Tenancy	p. 209
7.4.2 Relevant Capabilities of EIS in a Cloud Environment	p. 214
7.5 Cloud Computing-Architecture and Services Exploration	p. 215
7.6 Business Scenario with Cloud Computing	p. 216
7.6.1 Business Context	p. 216
7.6.2 Component Interaction Diagram	p. 217
7.7 Conclusion	p. 221
7.8 References	p. 221
Chapter 8 Enterprise Information Integration	p. 223
8.1 Enterprise Information Integration-Terms, History, and Scope	p. 223
8.2 Discover	p. 224
8.2.1 Discover Capabilities	p. 224
8.2.2 Discover Scenario	p. 227
8.3 Profile	p. 228
8.3.1 Profile Capabilities	p. 228
8.3.2 Profile Scenario	p. 230
8.4 Cleanse	p. 232
8.4.1 Cleanse Capabilities	p. 232
8.4.2 Cleanse Scenario	p. 235
8.5 Transform	p. 236
8.5.1 Transform Capabilities	p. 236
8.5.2 Transform Scenario	p. 237
8.6 Replicate	p. 239
8.6.1 Replicate Capabilities	p. 239
8.6.2 Replication Scenario	p. 242
8.7 Federate	p. 244
8.7.1 Federate Capabilities	p. 244
8.7.2 Federation Scenario	p. 246
8.8 Data Streaming	p. 247
8.8.1 Data Streaming Capabilities	p. 247
8.8.2 Data Streaming Scenario	p. 251
8.9 Deploy	p. 253
8.9.1 Deploy Capabilities	p. 253
8.9.2 Deploy Scenario	p. 254
8.10 Conclusion	p. 256
8.11 References	p. 256
Chapter 9 Intelligent Utility Networks	p. 257
9.1 Business Scenarios and Use Cases of the IUN	p. 258
9.1.1 Increasing Issues Concerning Electrical Energy	p. 258
9.1.2 The Demand for New Business Models	p. 259
9.1.3 Typical Use Cases	p. 261
9.2 Architecture Overview Diagram	p. 263
9.3 The Logical Component Model of the IUN	p. 265
9.3.1 Power Grid Infrastructure	p. 266
9.3.2 Data Transport Network and Communication	p. 266
9.3.3 Enterprise Information Integration (EII) Services	p. 267
9.3.4 Remote Meter Management and Access Services	p. 268
9.3.5 Automated Billing and Meter Data Management	p. 268
9.3.6 Enterprise Asset Management	p. 268
9.3.7 Work Order Entry Component and Mobile Workforce Management	p. 268
9.3.8 Customer Information and Insight with Portal Services	p. 269
9.3.9 Outage Management System	p. 269
9.3.10 Predictive and Advanced Analytical Services	p. 269
9.3.11 Geographic Information System (GIS)	p. 270
9.4 Component Interaction Diagram	p. 270
9.4.1 Component Interaction Diagram: Smart Metering and Data Integration	p. 271
9.4.2 Component Interaction Diagram: Asset and Location Mashup Services	p. 272
9.4.3 Component Interaction Diagram: PDA Data Replication Services	p. 273
9.5 Service Qualities for IUN Solutions	p. 274
9.5.1 Functional Service Qualities	p. 274
9.5.2 Operational Service Qualities	p. 275
9.5.3 Security Management Qualities	p. 275
9.5.4 Maintainability Qualities	p. 276
9.6 Applicable Operational Patterns	p. 277
9.7 Conclusion	p. 278
9.8 References	p. 279
Chapter 10 Enterprise Metadata Management	p. 281
10.1 Metadata Usage Maturity Levels	p. 281
10.2 Terminology and Definitions	p. 282
10.2.1 EIA Metadata Definition	p. 283
10.2.2 What Is Metadata Management?	p. 287
10.2.3 End-to-End Metadata Management	p. 289
10.3 Business Scenarios	p. 289
10.3.1 Business Patterns	p. 289
10.3.2 Use Case Scenarios	p. 290
10.4 Component Deep Dive	p. 291
10.4.1 Component Model Introduction	p. 291
10.4.2 Component Descriptions	p. 292
10.4.3 Component Relationship Diagrams	p. 293
10.5 Component Interaction Diagram-Deployment Scenario	p. 294
10.5.1 Business Context	p. 295
10.5.2 Component Interaction Diagram	p. 295
10.6 Service Qualities for Metadata Management	p. 298
10.7 Applicable Operational Patterns	p. 300
10.8 IBM Technology Mapping	p. 302
10.8.1 IBM Technology Overview	p. 302
10.8.2 Scenario Description Using IBM Technology	p. 303
10.9 Conclusion	p. 305
10.10 References	p. 306
Chapter 11 Master Data Management	p. 307
11.1 Introduction and Terminology	p. 307
11.1.1 Registry Implementation Style	p. 308
11.1.2 Coexistence Implementation Style	p. 309
11.1.3 Transactional Hub Implementation Style	p. 309
11.1.4 Comparison of the Implementation Styles	p. 310
11.1.5 Importance of Information Governance for MDM	p. 311
11.2 Business Scenarios	p. 311
11.3 Component Deep Dive	p. 313
11.3.1 Interface Services	p. 314
11.3.2 Lifecycle Management	p. 314
11.3.3 Hierarchy and Relationship Management Services	p. 315
11.3.4 MDM Event Management Services	p. 316
11.3.5 Authoring Services	p. 316
11.3.6 Data Quality Management Services	p. 316
11.3.7 Base Services	p. 317
11.4 Component Interaction Diagram	p. 318
11.5 Service Qualities	p. 323
11.5.1 MDM Security	p. 323
11.5.2 Privacy	p. 325
11.6 Applicable Operational Patterns	p. 326
11.7 Conclusion	p. 327
11.8 References	p. 328
Chapter 12 Information Delivery in a Web 2.0 World	p. 329
12.1 Web 2.0 Introduction to Mashups	p. 329
12.2 Business Drivers	p. 330
12.2.1 Information Governance and Architectural Considerations for Mashups	p. 335
12.3 Architecture Overview Diagram	p. 336
12.4 Component Model Diagram	p. 338
12.5 Component Interaction Diagrams	p. 340
12.5.1 Component Interaction Diagrams-Deployment Scenarios	p. 343
12.6 Service Qualities for Mashup Solutions	p. 345
12.7 Mashup Deployment-Applicable Operational Patterns	p. 349
12.7.1 Scenario 1: Simple Deployment Model	p. 349
12.7.2 Scenario 2: High Availability Model	p. 350
12.7.3 Scenario 3: Near-Real-Time Model	p. 353
12.8 IBM Technologies	p. 354
12.8.1 Lotus Mashups	p. 355
12.8.2 InfoSphere Mashup Hub	p. 355
12.8.3 WebSphere sMash	p. 355
12.9 Conclusion	p. 356
12.10 References	p. 357
Chapter 13 Dynamic Warehousing	p. 359
13.1 Infrastructure for Dynamic Warehousing	p. 360
13.1.1 Dynamic Warehousing: Extending the Traditional Data Warehouse Approach	p. 361
13.2 Business Scenarios and Patterns	p. 370
13.2.1 Practical Business Applications	p. 371
13.3 Component Interaction Diagrams-Deployment Scenarios	p. 372
13.3.1 Dynamic Pricing in the Financial Industry	p. 372
13.3.2 Addressing Customer Attrition/Churn	p. 377
13.4 Conclusion	p. 381
13.5 References	p. 381
Chapter 14 New Trends in Business Analytics and Optimization	p. 383
14.1 A New Approach to Business Performance Management	p. 384
14.1.1 A Framework for Business Analytics and Business Optimization	p. 385
14.1.2 Performance Metrics	p. 387
14.2 Business Scenario, Business Patterns, and Use Case	p. 387
14.2.1 Banking Use Case	p. 388
14.3 Component Interaction Diagrams-Deployment Scenarios	p. 389
14.3.1 Predictive Analytics in Health Care	p. 390
14.3.2 Optimizing Decisions in Banking and Financial Services-Trading	p. 394
14.3.3 Improved ERM for Banking and Financial Services	p. 397
14.4 Conclusion	p. 402
14.5 References	p. 403
Glossary	p. 405
Index	p. 415
Appendixes can be found online at www.ibmpressbooks.com/artofeia
Appendix A Software Product Mapping	p. 1
Appendix B Standards and Specifications	p. 19
Appendix C Regulations	p. 33

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