• Understand the role of big data in informing evidence-based policy and improving public service delivery
• Equip policymakers, analysts, and public sector managers with data-driven decision-making tools
• Strengthen analytical capacity for forecasting, planning, and monitoring public programs
• Foster innovation, transparency, and efficiency in government operations
• Definition, characteristics, and sources of big data
• Benefits of big data for policymaking and service delivery
• Challenges in managing and leveraging large-scale data
• Global case studies of big data applications in government
• Identifying relevant data sources: administrative, social, economic, and environmental
• Data cleaning, preprocessing, and validation for accurate analysis
• Integrating structured and unstructured datasets for comprehensive insights
• Ensuring data quality, reliability, and interoperability
• Descriptive, predictive, and prescriptive analytics in public policy
• Identifying trends, patterns, and correlations to guide decisions
• Scenario modeling and forecasting for policy interventions
• Evaluating policy impact and performance through data insights
• Monitoring service efficiency, accessibility, and outcomes
• Identifying gaps and inefficiencies in public programs
• Data-driven resource allocation and prioritization
• Enhancing citizen engagement and responsiveness
• Legal and regulatory frameworks for big data in the public sector
• Ethical considerations, data privacy, and protection
• Ensuring transparency, accountability, and public trust
• Building policies for responsible data usage
• Emerging tools and technologies for big data analytics in governance
• Integrating AI, machine learning, and IoT for advanced insights
• Preparing public sector teams for data-driven decision-making
• Building a culture of continuous learning and innovation in government
25, Queen street, Alagomeji Bus Stop, Yaba, Lagos