Student 360°: Whole Child Analytics

What is Whole Child Analytics?

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.

Whole systems. Whole students. One powerful platform.

What our clients say

Hear what district users have to say about Whole Child Analytics.

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"The Whole Child Dashboard is delivering exactly what was promised–a quick, one-stop shop for comprehensive student data. I use it regularly, and it has become an essential tool during our Tier 2 and Tier 3 student support meetings. The student profile feature is particularly helpful, as it allows us to review multiple data points across multiple years in one place."

School Principal

Kentwood Public Schools (MI)

"It's liberating to be able to add different assessment tools as we progress as a district. We are not bound to what we already have with Innive."

Director of Information Systems

Rush-Henrietta Central School District (NY)

"Having all this data at our fingertips is a game changer. Previously, our student information system required us to dig through multiple reports in different places, which made it difficult to make timely, data-based decisions. Now, the data is centralized, visual, and actionable."

Executive Director of Strategy and Innovation

Kentwood Public Schools (MI)

“I love that this streamlines all our data systems into one comprehensive tool.”

Counselor

Greece Central School District (NY)

Key Features

Whole Child Analytics role-based principal dashboard analytics

Unified Comprehensive Whole Child Dashboard

See academic, social-emotional, behavioral, and health indicators at the student, school, and district level.

Whole Child Analytics Accountability Dashboard with state level and LCAP data

Personalized and District-Aligned Indicators

Align dashboards with district priorities, frameworks, and goals for student well-being and equity.

Whole Child Analytics AI-powered student notifications for teacher analytics

Early Insights and Indicators for Student Support and Intervention

Identify students at risk across multiple domains and track interventions over time for various student subgroups.

Whole Child Analytics student data dashboard and analytics showing student grouping capability

Flexible Student Grouping for Deeper Insights

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.

Support Your District Initiatives

For Community Schools: Connecting Community Supports to Student Needs

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.

Aligns with wraparound services and family engagement efforts
Provides equity-focused analytics to guide resource deployment
Bridges communication between schools and community-based organizations

Assists in determining the correct dosage of interventions needed for individual success
Tracks outcomes related to student health, engagement, and well-being
Provides districts and community partners with return on investment metrics

Data That Drives Tiered Intervention

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.

Visualizes MTSS data integration for social emotional learning and behavior
Aligns academic and non-academic indicators within your MTSS framework
Tracks interventions at the student level for compliance and accountability

Enables early intervention through real-time alerts
Informs those who are new to MTSS of the components essential for an effective process

Insights Driven by Artificial Intelligence (AI)

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.

Identify risks early for chronic absenteeism, disengagement, and academic decline using predictive insights
Move beyond static thresholds with adaptive early warning indicators that evolve with your data
Receive intelligent recommendations based on academic, SEL, and behavioral trends with context-aware alerts

Keep all insights secure – your private LLM processes everything within your district environment
Support underserved groups proactively by using predictive trends to guide equitable interventions

Support the Whole Student with Data That Tells the Full Story