The Springfield MA school district uses data from the SPS Data Warehouse and the new Massachusetts Department of Elementary and Secondary Education’s (MADESE) Growth Model to match dropout early warning indicators to appropriate interventions. Principals academic directors and teacher coaches participate in professional development on accessing district school and classroom data through the local data warehouse as well as on how to access and interpret student growth percentiles through the MADESE’s data warehouse. SPS district staff and appropriate school-based staff analyzes dropout early warning indicators available research-based interventions and the correlation between the two. The result is the documentation of the mapping of early warning indicators and appropriate interventions for each. The technical team is creating secure role-based data dashboards. Finally once the secure role-based data dashboards are developed tested and made available school-based staff will participate in hands-on interactive training on how to utilize the data and the interventions to prevent at-risk students from dropping out. Once fully implemented the effectiveness of not only the dashboards but also an (initial) evaluation of the interventions will be carried out.