Case Study
Modernizing a Multi-Tenant K–12 District Data Platform for Learning Analytics
Key Result Highlights
- Provisioned and configured district dashboards in under 15 minutes.
- Delivered an impact measurement dataset spanning 392,603 students, 48 districts, 1.4M usage hours, and 150 programs.
- Enabled a major SIS integration to support all versions via API or secure extract across core entities.
- Supported district governance efforts for a large US public district (80,000+ students, 14,000+ educators), contributing to stronger data privacy practices and a recognized trust seal.
- Established a scalable integration operating model built on templates, validation, and visibility rather than brittle connectors.
The Client
A learning analytics and data platform provider serving K–12 districts. Their platform unified data from student information systems and learning tools into educator-facing dashboards and reports, and later became part of a larger education ecosystem following an acquisition.
The Challenge
The platform needed to scale integrations without creating brittle one-off connectors, improve ingestion reliability across varied district configurations, and support “SIS-first” onboarding through API and secure extract options. The client also required higher release confidence through repeatable QA and automated regression across a multi-tenant environment.
Critical Success Parameters
- Expand integrations using a platform-grade framework, not custom one-offs.
- Improve ingestion reliability and standardize validation to increase data trust.
- Enable SIS-first onboarding using APIs and secure extract patterns.
- Support multi-tenant configuration variance without breaking reporting.
- Increase release confidence through automated regression and repeatable QA.
- Improve operational visibility into freshness, failures, and data correctness.
Our Approach
- Modernized connector capabilities using reusable templates to accelerate new integrations.
- Strengthened ingestion pipelines to handle peak loads and reduce failure rates.
- Implemented consistent validation patterns to prevent downstream discrepancies in dashboards.
- Improved operability with monitoring and failure visibility for faster troubleshooting.
- Built QA automation and regression coverage for integrations and releases across district configurations.
- Developed SIS-first onboarding patterns supporting API and secure extract options.
- Strengthened long-tail dataset consistency across core domains including rostering, staff, enrollments, sections, calendars, program tags, and assessments (as applicable).
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