The Philippine healthcare system, composed of both public and private sectors, aims to deliver accessible and affordable services. Challenges persist in achieving digital inclusion even in highly urbanized cities where resource limitations, workforce shortages, and fragmented healthcare access remain. Community-based health units often rely on manual data processes which hinder the adoption of data-driven strategies. This study assesses the levels of data literacy and analytics capabilities among community-based health centers and explores strategies to enhance these capabilities. Using a mixed-methods approach, a workshop combining self-assessment tools and group discussions involving 30 community-based health centers was conducted. The workshop served as both an evaluative exercise and a capacity-building model for digital governance in public health. The results indicated low to moderate data literacy, particularly in data foundation, reading, and comprehension, while moderate to high proficiency was observed in data writing. This suggested strong data collection practices but challenges in deeper analysis. Data analytics capabilities showed neutral to moderate engagement, suggesting underutilization of available data for decision-making. This study highlights the importance of the value of data competencies to improve service delivery, promote evidence-based decision-making, and foster public trust. Future studies may explore the design of interventions and comparative analyses between public and private health units to further understand the role of data in healthcare transformation.