If you are responsible for the management of an intelligence enterprise operation and its timely and accurate delivery of reliable intelligence to key decision-makers, this book is must reading. It is the first easy-to-understand, system-level book that specifically applies knowledge management principles, practices and technologies to the intelligence domain. The book describes the essential principles of intelligence, from collection, processing and analysis, to dissemination for both national intelligence and business applications.
This unique resource provides a balanced treatment of the organizational and architectural components of knowledge management, offering a clear understanding of the system infrastructure, tools and technologies necessary to implement the intelligence enterprise. You explore real-world applications and get a detailed example of a competitive intelligence unit design. Including over 80 illustrations, the book offers a highly practical description of enterprise architecture design methodology, and covers the full range of national, military, business and competitive intelligence.
Author(s): Edward Waltz
Series: Artech House Information Warfare Library
Publisher: Artech House Publishers
Year: 2003
Language: English
Pages: 376
Knowledge Management in the Intelligence Enterprise......Page 2
Contents vii......Page 8
Preface xiii......Page 14
1 Knowledge Management and Intelligence 1......Page 16
1.1 Knowledge in a Changing World 4......Page 19
1.2 Categories of Intelligence 10......Page 25
1.3 The Intelligence Disciplines and Applications 12......Page 27
1.4 The Intelligence Enterprise 17......Page 32
1.5 The State of the Art and the State of the Intelligence Tradedcraft 20......Page 35
1.6 The Organization of This Book 23......Page 38
Endnotes 24......Page 39
Selected Bibliography 26......Page 41
2.1 The Stakeholders of Nation-State Intelligence 29......Page 44
2.2 Intelligence Processes and Products 33......Page 48
2.3 Intelligence Collection Sources and Methods 35......Page 50
2.4 Collection and Process Planning 40......Page 55
2.5 KM in the Intelligence Process 42......Page 57
2.6 Intelligence Process Assessments and Reengineering 44......Page 59
2.7 The Future of Intelligence 48......Page 63
Endnotes 51......Page 66
3 Knowledge Management Processes 55......Page 70
3.1 Knowledge and Its Mangement 56......Page 71
3.2 Tacit and Explicit Knowledge 62......Page 77
3.3 An Intelligence Use Case Spiral 74......Page 89
3.4 Taxonomy of KM 80......Page 95
3.5 Intelligence As Capital 85......Page 100
3.6 Intelligence Business Strategy and Models 93......Page 108
3.7 Intelligence Enterprise Architecture and Applications 96......Page 111
3.8 Summary 102......Page 117
Endnotes 104......Page 119
4 The Knowledge-Based Intelligence Organization 107......Page 122
4.1 Virtues and Disciplines of the Knowledge-Based Organization 109......Page 124
4.2 Organizational Learning 121......Page 136
4.3 Organizational Collaboration 129......Page 144
4.4 Organizational Problem Solving 142......Page 157
4.5 Tradecraft: The Best Practices of Intelligence 151......Page 166
Endnotes 153......Page 168
5 Principles of Intelligence Analysis and Synthesis 159......Page 174
5.1 The Basis of Analysis and Synthesis 160......Page 175
5.2 The Reasoning Processes 167......Page 182
5.3 The Intergrated Reasoning Process 175......Page 190
5.4 Analysis and Synthesis As a Modeling Process 180......Page 195
5.5 Intelligence Targets in Three Domains 186......Page 201
5.6 Summary 190......Page 205
Endnotes 191......Page 206
6 The Practice of Intelligence Analysis and Synthesis 195......Page 210
6.1 Intelligence Consumer Expectations 196......Page 211
6.2 Analysis-Synthesis in the Intelligence Workflow 198......Page 213
6.3 Applying Automation 203......Page 218
6.4 The Role of the Human Analyst 205......Page 220
6.5 Addressing Congitive Shortcomings 207......Page 222
6.6 Marshaling Evidence and Structuring Argumentation 209......Page 224
6.7 Evaluation Competing Hypotheses 223......Page 238
6.8 Countering Denial and Deception 229......Page 244
Endnotes 235......Page 250
7.1 Externalization and Internalization in the Intelligence Workflow 241......Page 256
7.2 Storage, Query, and Retrieval Services 245......Page 260
7.3 Cognitive (Analytic Tool) Services 249......Page 264
7.4 Intelligence Production, Dissemination, and Portals 256......Page 271
7.5 Human-Machine Information Transactions and Interfaces 264......Page 279
7.6 Summary 267......Page 282
Endnotes 268......Page 283
8 Explicit Knowledge Capture and Combination 271......Page 286
8.1 Explicit Capture, Representation, and Automated Reasoning 272......Page 287
8.2 Automated Combination 275......Page 290
8.3 Intelligence Modeling and Simulation 289......Page 304
Endnotes 294......Page 309
9 The Intelligence Enterprise Architecture 299......Page 314
9.1 Intelligence Enterprise Operations 300......Page 315
9.2 Describing the Enterprise Architecture 302......Page 317
9.3 Architecture Design Case Study: A Small CI Enterprise 306......Page 321
9.4 Summary 322......Page 337
Endnotes 324......Page 339
10.1 Role of IT in KM 327......Page 342
10.2 KM Research for National Security Applications 331......Page 346
10.3 A KM Technology Roadmap 332......Page 347
10.4 Key KM Technologies 335......Page 350
Endnotes 340......Page 355
About the Author 343......Page 358
Index 345......Page 360
