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 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.
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, IntelligenceModeling 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;
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Edward Waltz
is Professor of Practice (Intelligence) in the Center for Multiunit Studies (CMIS) at the Naval Postgraduate School (NPS) where he conducts research in intelligence processing from multiple intelligence sources. Prior to joining NPS in 2018, he was Division Chief, Advanced Concepts at the National Reconnaissance Office while a Distinguished Member of the Technical Staff at Virginia Tech, serving an IPA position within the U.S. Intelligence Community. where is the Division Chief, leading intelligence process research focused on automating intelligence collection and data integration. Prior to 2013 he held numerous research leadership roles: BAE Systems Advanced Information Technologies (Chief Scientist), General Dynamics, and Veridian (Technical Director, Senior Scientist) - developing and deploying signal processing, data fusion and intelligence analysis capabilities. He led numerous hard target Multiunit studies and tool developments over two decades for different agencies of the IC. His prior experience was as a digital signal processor designer (Apollo, NASA Multispectral scanner, LANDSAT,) systems engineer (Navy Radiometer, SEASAT, Space Shuttle) and Systems Engineering Manager (AN/UPX-30(V), Tri-Service Mark XV). Since 2015 he has been an Adjunct Professor of Strategic Intelligence, Patrick Henry College. He has given over 45 international lecture series (2 and 3-day courses) on intelligence topics during the period 1990-2010.