The School Data Analytics Platform is a data-driven system designed to analyze academic data generated from a school management system.
The platform extracts structured academic data such as student performance, course enrollments, GPA trends, and semester records from relational databases, transforms it into analytics-ready formats, and loads it into a reporting layer for visualization and decision-making.
This project focuses on data engineering workflows, analytical modeling, and dashboard-driven insights rather than transactional operations, making it suitable for academic planning, performance monitoring, and policy evaluation.
One-liner: A data analytics platform that transforms academic records into actionable insights through ETL pipelines, dashboards, and performance analytics.
Raw academic data stored in operational databases is difficult to interpret and does not easily support trend analysis, performance tracking, or strategic decision-making for academic institutions.
This platform introduces an ETL-based analytics workflow that converts operational school data into analytical datasets. It enables the generation of dashboards that track GPA distributions, student performance by semester, course demand, and lecturer workloads, supporting data-informed academic decisions.
Visual representation of the project interface and design concepts
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