• Understand the role of data analytics in enhancing public sector decision-making
• Equip policymakers, managers, and analysts with tools to make evidence-based decisions
• Strengthen performance monitoring, risk management, and strategic planning
• Foster transparency, efficiency, and innovation in public service delivery
• Overview of data analytics and its relevance to government operations
• Types of data: structured, unstructured, and real-time datasets
• Benefits of analytics for policy formulation, program management, and citizen services
• Case studies of data-driven decision-making in public administration
• Identifying and sourcing relevant public sector data
• Data cleaning, validation, and preprocessing techniques
• Data integration and interoperability across departments
• Ensuring data quality, reliability, and accessibility
• Descriptive analytics: understanding past and current performance
• Predictive analytics: forecasting trends, risks, and outcomes
• Prescriptive analytics: recommending optimal courses of action
• Visualization tools and dashboards for actionable insights
• Using data to inform policy design and implementation
• Monitoring public programs and evaluating effectiveness
• Evidence-based resource allocation and strategic planning
• Identifying gaps, inefficiencies, and improvement opportunities
• Data privacy, security, and regulatory compliance in public sector analytics
• Ensuring transparency and accountability in decision-making
• Addressing bias and ethical challenges in data-driven governance
• Building public trust through responsible data usage
• Leveraging AI, machine learning, and big data for advanced insights
• Integrating analytics into digital government initiatives
• Developing data literacy and analytical skills among public sector teams
• Fostering a culture of continuous learning and evidence-based governance
25, Queen street, Alagomeji Bus Stop, Yaba, Lagos