Data collection and analysis are essential for monitoring progress, identifying gaps, and informing evidence-based HIV/AIDS programming. By strengthening systems for data collection, improving data quality, and enhancing data analysis capabilities, we can generate actionable insights that drive impact and accountability in the HIV/AIDS response. By investing in data infrastructure, building capacity for data-driven decision-making, and promoting transparency and data sharing, we can harness the power of data to accelerate progress towards ending the epidemic.