Includes index.

Includes bibliographical references.

Section 1. Knowledge and intelligence -- Chapter 1. Intelligence in knowledge economies and organizations -- Chapter 2. Traditional intelligence work -- Chapter 3. Intelligence work for the knowledge economy -- Chapter 4. Knowledge capital as intelligence sources section 2. New intelligence capabilities -- Chapter 5. Design capability -- Chapter 6. Analysis capability -- Chapter 7. Automate & operationalize capability -- Chapter 8. Accelerate capability section 3. Sustaining the intelligent organization -- Chapter 9. Capacity building for organizational intelligence and analytics -- Chapter 10. Assessing current intelligence capacity -- Chapter 11. Crafting and sustaining an organizational intelligence strategy -- Chapter 12. Business stories of intelligent organizations.

Over the past century, intelligence has evolved as a practice in several distinct domains. In each domain, it is a unique set of tactics grown out of day to day practices. Its practice has been limited to functional units in large, well-funded enterprises. However, in the knowledge economy, every organization must behave intelligently. The relationship between knowledge and intelligence is a logical one, but it is not one that has been highlighted in either knowledge management or intelligence analysis. Organizational Intelligence and Knowledge Analytics expands the traditional intelligence life cycle to a new framework - Design-Analyze-Automate-Accelerate - and clearly lays out the alignments between knowledge capital and intelligence strategies. Explaining what it means to build intelligence capacity across the organization, this book also includes a toolkit of references to analytical methods. This book is intended for business managers, intelligence professionals, data scientists, competitive and strategic intelligence professionals, and researchers in change management.