Leading Intelligence Analysis: Lessons from the CIA’s Analytic Front Lines
Espionnage
Audio avec voix de synthèse, Braille automatisé
Résumé
"Bruce Pease has written a much needed book on a long ignored topic: how does one lead analysts? Most analysis is at some level a group activity, whether in government or the private sector. Much has been written about good… versus bad analysis and how to train analysts, but Pease, himself a veteran senior CIA analyst and manager, focuses on what the leaders of these analysts need to know and should be thinking about. Leadership matters in analysis as in all other endeavors, and Pease offers invaluable guidance on how to lead effectively. This book is a must for anyone in a leadership role in an analytic enterprise." —Mark M. Lowenthal, PhD, Intelligence & Security Academy, LLC Written by an experienced professional who has led Navy Intelligence and CIA analysts in high-stakes situations, Leading Intelligence Analysis introduces the fundamental managerial skills and practical tools needed to lead analysis projects conducted by individuals and teams. Author Bruce Pease provides insights into key questions such as What kind of environment draws out a team’s best work? What brings out their creativity? When does pressure bring out their best insights? When does pressure sap their intellectual energy? and What kind of team builds new knowledge rather than engaging in group-think? This book draws on the author’s perspective from decades of leading intelligence analysts on critical issues, including war in the Middle East, terrorism after 9/11, and nuclear threats. Key Features Practical advice helps leaders of analytic units nurture insight with the understanding that it can be enabled but not manufactured. Discussion of a range of different types of analysis serves leaders conducting research in areas including data analysis, security analysis, geopolitical analysis, threat warning, counterterrorism, and business climate analysis. Practical advice on judging IT tools guides leaders to the correct data science approach for various situations.