Harnessing the Power of Big Data to Drive Evidence-Based Policy Making in the Public Sector

Abstract

Big data offers tremendous potential to transform public policymaking through data-driven insights and evidence-based decision making. However, realizing this potential also poses challenges related to data quality, privacy, security, skills and capacity. This paper examines strategies for governments to harness big data analytics to enhance service delivery, target programs more effectively, gain insights into complex policy issues, and promote transparency and accountability. It argues for a holistic approach focused on four pillars: building analytical capabilities by developing talent and partnerships; strengthening data infrastructure through improved collection, management, and governance; instituting thoughtful legal and ethical data regulation; and fostering a culture of data-driven governance through leadership and incentives. With careful planning and execution, big data can become a strategic asset to deliver more agile, innovative and responsive public services tuned to citizens' needs and priorities. However, governments must invest in capacities and frameworks to leverage analytics at scale while protecting rights and maintaining public trust. Through evidence-based policymaking enabled by big data, governments can transition to more nimble, effective and forward-looking models of service delivery and decision making to improve societal outcomes.