Overview
We partnered with a growing Ed-Tech SaaS provider that delivers cloud-based data infrastructure and analytics for K–12 school districts. The platform enables schools to unify their student information, learning systems, and performance data, providing real-time insights to educators and administrators. However, the provider faced significant challenges in integrating data from multiple systems, ensuring data quality, and delivering consistent, scalable analytics experiences. To address this, we implemented a modern data foundation using Microsoft Fabric, Synapse Analytics, and Power BI, completely transforming how education data is managed and visualized.
30%
Faster Insights
60%
Fewer Support Tickets
25%
Cost Savings
Customer Challenges
The Ed-Tech provider faced multiple hurdles that limited scalability and data reliability across districts. These challenges not only slowed reporting but also reduced the trust and usability of analytics for educators.
Fragmented Data Sources
Schools used separate systems for attendance, grades, LMS content, assessments, and behavior tracking. Integrating this data manually resulted in high maintenance costs and inconsistent metrics.
Manual and Delayed Reporting
Each district used its own reporting methods, often relying on spreadsheets and legacy BI tools. Report generation took days, and real-time insights were out of reach.
Data Quality and Governance Issues
Lack of automated validation led to frequent data gaps, missing fields, and duplication, causing educators to lose trust in the accuracy and reliability of the reports.
No Interoperability Framework
Without adherence to common education data standards (e.g., Ed-Fi, OneRoster), every district integration required custom mapping, slowing down onboarding.
Solutions
We designed and deployed a centralized data and reporting platform based entirely on Microsoft’s modern analytics stack.
01.
Data Ingestion & Integration
Using Microsoft Fabric Dataflows Gen2 and Pipelines, we integrated multiple education systems, including SIS, LMS, attendance trackers, and gradebooks. All data was consolidated into a unified data lake in OneLake, storing raw, cleansed, and modeled datasets. Following open standards like Ed-Fi and OneRoster ensured schema-aligned pipelines, promoted consistency, and significantly reduced onboarding time for new districts.
02.
Data Modeling & Transformation
A Lakehouse medallion architecture (Bronze → Silver → Gold) was applied using Microsoft Fabric’s native features. Within this framework, we modeled core education entities such as Students, Courses, Enrollments, Attendance, Assessments, and Teacher Performance. To support reporting needs, a semantic layer was built in Synapse Data Warehouse, enhanced with views and stored procedures optimized for Power BI.
03.
Reporting & Dashboards with Power BI
Power BI role-based dashboards served different users. District administrators tracked enrollment, attendance, and dropouts. Principals monitored performance, teacher utilization, and course completion. Educators followed student progress and assignments. State officials reviewed compliance, equity, and outcomes. Dashboards were embedded in the web portal, providing secure, real-time access for stakeholders.
04.
Governance & Quality Assurance
To maintain security and trust, Role-Based Access Control (RBAC) was implemented through Azure Active Directory. Data validation layers were added within pipelines to automatically flag missing records or schema mismatches before processing. Additionally, Microsoft Fabric’s governance features were used to monitor data lineage, refresh history, and provenance, ensuring accuracy, transparency, and reliability across reports.
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