Leveraging available data enables military leaders to make data-informed decisions that promote resilience among service members. Discussions with leadership across four military sites revealed a lack of real-time data to identify risks, track trends, and evaluate program effectiveness. To assess current data practices, the project team reviewed available aggregate data and worked collaboratively with site personnel to identify additional information sources used for decision making. The team analyzed these data to identify gaps and potential project opportunities, then partnered with each site to develop new strategies for collecting real-time information. Despite these improvements, sites continued to require guidance on data interpretation and application, indicating a limited understanding of how to translate findings into actionable decisions. To address this need, the project team developed a data training workshop series for prevention stakeholders and key leaders. The training emphasized practical data skills, including collection, longitudinal monitoring, interpretation, application, and evaluation. All four sites participated, completing a standardized curriculum tailored to site-specific needs. Real-time data was used to tailor the examples specifically for each site to reinforce the knowledge gained by the participants for data collection methods, program activities and objectives, data cleaning and analysis, and data visualization in support of data-driven decision making. As a result, prevention teams at each site applied their new skills to develop their data-driven comprehensive integrated primary prevention plan. These plans outlined measurable activities designed to reduce risk factors, enhance protective factors, and inform future interventions. The data training series provided a sustainable foundation for building analytic capacity and advancing prevention efforts across military installations.