From Data Chaos to Predictive District Decision-Making

School systems aren't lacking data; they're lacking timing, coherence and usability. Many districts still rely on fragmented systems and lagging indicators, limiting their ability to intervene before outcomes are set. This round table discussion explores how districts can move from reactive reporting to proactive, predictive decision-making through interoperable data systems and leading indicators. Participants will examine a framework developed by a regional service agency supporting multiple districts that unifies assessment, attendance, behavior and course performance data into actionable dashboards. The conversation highlights how early warning indicators identify student risk trajectories in real time, enabling timely intervention at school and district levels. You will leave with a step-by-step model for designing scalable data infrastructure: conducting a data ecosystem audit, establishing leading indicators aligned to district priorities, structuring data integration workflows and designing role-specific dashboards for district leaders, principals and support staff, with concrete examples you can adapt immediately.