Whole Child Analytics helps districts unify academic, behavioral, and well-being data—so every student gets the support they need to thrive.
Whole Child Analytics is a comprehensive platform that unifies academic, attendance, behavior, social-emotional learning, belonging, and student health data—giving educators, counselors, and administrators a 360° view of each student.
It empowers districts to take a truly data-driven whole child approach, helping education leaders identify needs early, monitor interventions, and measure progress across all tiers of support. Whether supporting tiered systems, equity initiatives, or student well-being, Whole Child Analytics turns disconnected data into clear, actionable insight.
See academic, social-emotional, behavioral, and health indicators at the student, school, and district level.
Align dashboards with district priorities, frameworks, and goals for student well-being and equity.
Identify students at risk across multiple domains and track interventions over time for various student subgroups.
Whether you wish to compare two students or 200, easily organize and compare students by group (Professional Learning Community, interdisciplinary team, sports team, etc.) or intervention type to support team-based collaboration and targeted support.
Whole Child Analytics supports community school models by surfacing real-time insights that help site coordinators, school leaders, and community partners respond to student needs holistically.
Whether you're building or refining a Multi-Tiered System of Supports (MTSS), Whole Child Analytics makes it easier to monitor progress, identify risks, and measure success across all three tiers.
Unlock predictive analytics, early warning systems, and real-time data access—powered by your district’s private large language model (LLM).Whole Child Analytics goes beyond traditional dashboards by harnessing the power of AI and a private LLM designed specifically for PK-12 districts. From forecasting risk to simplifying data access, our AI engine helps leaders and educators make faster, smarter, and more proactive decisions – while ensuring FERPA-compliant, secure, and district-contained data processing.
SQLify empowers educators and district staff to generate SQL queries by typing or speaking natural language questions—securely processed within the district’s private, FERPA-compliant LLM.
The College and Career Readiness Guide within Whole Child Analytics helps district leaders and counselors ensure every 9–12th grade student is on a clear, personalized path to graduation and postsecondary success.
Watch a brief recorded demo of Whole Child Analytics to learn the five most common ways the platform can help your district.
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