WhatsApp Logo
Case Studies/Education · Brazil
Education 🇧🇷 Brazil Dedicated Team

Custom Power BI development for data-driven education intelligence.

A leading educational institution needed a centralized analytics platform to improve academic performance monitoring, administrative reporting, and strategic decision-making. Aeologic developed a custom Power BI solution that unified student information, learning management systems, and institutional data into interactive dashboards, enabling educators and administrators to make faster, data-driven decisions while enhancing educational outcomes. Power BI is widely used in education to transform student, academic, and operational data into actionable insights.

38%Higher operational efficiency
33%Lower reporting costs
180+Academic dashboards deployed
10 wksPilot to production
The Challenge

Educational institutions relied on disconnected reports instead of real-time academic insights.

The authority operated 140 signalized intersections across three states with legacy inductive-loop sensors and siloed camera feeds. Traffic engineers adjusted signal timing manually based on historical patterns, and incident response relied on phone reports from field staff — often 12–18 minutes after an incident began.

  • No unified, real-time view across intersections and jurisdictions
  • Signal plans updated quarterly, not adaptively
  • Average incident-to-response time of 14 minutes during peak hours
The Solution

A custom Power BI platform integrated with Aeologic's 8-Layer Automation Framework.

Rather than replace existing sensor hardware, Aeologic layered a Sense → Decide → Act pipeline on top of it: normalizing feeds from inductive loops and traffic cameras, training SageMaker forecasting models on 14 months of historical flow data, and pushing predicted congestion windows back to the signal controllers as adaptive timing recommendations.

01COLLECT
Student & institutional data
02VISUALIZE
Interactive Power BI dashboards
03IMPROVE
Academic performance & planning

A GIS-based operations map gives traffic engineers a single live view of every intersection, with automatic anomaly flags and one-click rerouting suggestions during incidents.

"We went from finding out about congestion after the fact to seeing it forming twenty minutes before it happens. That's the difference between managing traffic and predicting it."

— Program Director, State Transport Operations (illustrative quote — replace with a verified client attribution)
The Results

Faster response, smoother flow, and a foundation to scale.

  • 32% faster incident response — automated anomaly detection cut average response time from 14 to under 10 minutes
  • 18% reduction in peak-hour congestion across the initial 140-intersection rollout
  • Forecast accuracy of 91% for 20-minute-ahead traffic volume predictions
  • Rollout designed to extend to 500+ intersections statewide in phase two
Footer Banner