Corruption poses a significant threat to development and has a disproportionate impact on the poor and most vulnerable. Government agencies struggle to identify fraud and corruption in public expenditures. Risk assessments usually rely on manual analysis and follow-up on specific complaints or anecdotes which requires substantial resources. Assessments are often limited in scope and ineffective, failing to generate the evidence needed to build strong cases. The World Bank developed the Governance Risk Assessment System (GRAS), a tool that uses advanced data analytics to improve the detection of risks of fraud, corruption, and collusion in government contracting. GRAS increases the efficiency and effectiveness of audits and investigations by identifying a wide range of risk patterns. GRAS makes use of public data and is based on a robust and comprehensive conceptual framework which draws on insights from experienced practitioners and sound academic research.