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Knowledge Management for the Intelligence Enterprise
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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 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.
Contents:
Knowledge Management and
Intelligence -Knowledge in A Changing World, Categories of Intelligence, The
Intelligence Disciplines and Applications, National and Military Intelligence,
Business and Competitive Intelligence, The Intelligence Enterprise, The State
of the Art and the State of the Intelligence Tradecraft, The Organization of
this Book
The Intelligence Enterprise
- The Stakeholders of Nation-State Intelligence, Intelligence Processes and
Products, Intelligence Collection Sources and Methods, Human Intelligence
Collection Methods, Technical Intelligence Collection, Collection and Process
Planning,Knowledge Management in the Intelligence Process, Intelligence Process
Assessments and Re-Engineering, The Future of Intelligence
Knowledge Management Processes - Knowledge and its Management, Tacit and Explicit Knowledge, Knowledge as Object and as Process, A Knowledge Creation Model, An Intelligence Use Case Spiral, A Taxonomy of Knowledge Management, Intelligence as Capital, Intelligence Business Strategy and Models, Intelligence Enterprise Architecture and Applications
The Knowledge-Based Intelligence Organization - Virtues and Disciplines of the
Knowledge-Based Organization, Organizational Learning, Organizational
Collaboration, Organizational Problem Solving, Tradecraft: The Best Practices
of Intelligence
Intelligence Analysis and Synthesis - The Basis of Analysis and Synthesis, The Reasoning Processes: Deductive, Inductive and Abductive Reasoning, The Integrated Reasoning Process, Analysis and Synthesis as a Modeling Process, Intelligence Target in Three Domains, Marshalling Evidence and Argumentation
Implementing
Analysis-Synthesis - Intelligence Consumer Expectations, Analysis-Synthesis in
the Intelligence Workflow, The Role of the Human Analyst, Addressing Cognitive
Shortcomings, Structuring Analysis, Countering Denial and Deception
Knowledge Internalization
and Externalization - Human-Machine Information Transactions and Interfaces,
Intelligence Analysis Workflow, Analytic Support Services, Analytic Tool
Services, Visualization Services, Intelligence Production, Dissemination and
Portals
Explicit Knowledge Combination and Transformation - Explicit Capture and Storage of Knowledge, Automated Correlation and Combination, Data Fusion, Data Mining, Integrating Data Fusion and Mining, Intelligence Modeling and Simulation
The Intelligence Enterprise Architecture - Intelligence Enterprise Operations, Describing the Enterprise Architecture, Architecture Design Case Study: A Small Competitive Intelligence Enterprise, The Value Proposition, The CI Business Process and Functional Flow, CI Unit Organization Structure and Relationships, A Typical Operational Scenario, CI System Abstraction, System and Technical Architecture Descriptions
Knowledge Management
Technologies - Role of Technology In Knowledge Management, KM Research for
National Security Applications, A KM Technology Roadmap, Key KM Technologies,
Explicit Knowledge Combination Technologies, Human-Computer Tacit-Explicit
Exchange Technologies, Knowledge-Based Organizational Technologies
Ed Waltz is technical director of intelligence systems at Veridian, Ann Arbor, Michigan. He received his B.S. in electrical engineering from the Case Institute of Technology and M.S. in computer information and control engineering from the University of Michigan. He is also the author of Information Warfare: Principles and Operations and co-author of Multisensor Data Fusion (Artech House, 1998, 1990).