The Actionable Intelligence (AI) Model attempts to redress government processes that are often too expensive, slow and inflexible. AI necessitates an ongoing cycle of scientifically rigorous data, dialogue among key contributors in the problem-solving process, and subsequent action to change programs and policies. The cycle begins with high-quality data, which provide an analysis of the problem at hand and a basis from which dialogue may begin. Communication among key contributors allows for consideration of multiple perspectives and contextual constraints, which may shape the way in which the data are interpreted. From this dialogue, a theory of change evolves and requisite actions are undertaken to address the public problem given the theory derived. The AI process is an iterative cycle, and continues by returning to the use of rigorous data to evaluate the effectiveness of these actions.
Integrated data systems transform administrative records into actionable intelligence. They allow government agencies to readily integrate their various databases and bridge the gaps that have traditionally formed among them, and between government agencies and community providers. Through integrated administrative data, education, health, human service, justice and workforce development agencies can better address the often interconnected needs of the citizens’ they serve, more efficiently, effectively, and at a lower cost.
For executive leaders, policy makers, and policy analysts, integrated data systems provide a powerful, transformative tool. By comparing data across various agencies, researchers can ask probing questions about issues that have stymied public agencies’ past efforts to improve policies. Integrated data reveal patterns of risk and resilience, which, in turn, more readily links cause and effect, thereby allowing officials to test more targeted interventions and higher-impact policies. Government works better, faster and smarter with integrated data. To learn more about AI, watch our introductory video.