Using Knowledge Management to Improve the Effectiveness of Data Fusion Centers

Abstract

Data fusion centers have been around since the 9/11 terrorist attacks but have been shackled with an underperforming label. Products from fusion centers often do not support the mission of the organizations supporting the centers. This paper addresses the questions of the historical barriers to information sharing and how fusion centers can become more efficient and effective in this role. The research and experience of the authors are viewed through a knowledge management lens to propose using structured analytic technique exercises coupled with applying knowledge management tools and concepts to improve knowledge flow and the relevance and quality of the intelligence products produced.