AI-Powered Analytics Dashboard – Success Story | Clyrosoft

AI-Powered Analytics Dashboard

Millions of events → real-time insight

Real-time analytics layer surfacing predictive insights from millions of daily events and accelerating data-driven iteration.

Machine LearningPythonReactData VisualizationAIAnalytics
Sector: Analytics / Education
Timeline: MVP: 10 weeks
Services: Data Engineering, ML Engineering, Full-Stack Delivery
Analytics dashboard with charts
↓ >90%
Insight Latency
2.5×
Model Iteration Speed
99.2%
Data Coverage

Challenge

Static batch reporting limited instructor adaptation

Educators and analysts relied on nightly batch exports delaying intervention opportunities.

Data heterogeneity increased model drift and slowed iteration cycles.

Approach

Streaming ingestion + feature store + feedback loop

Implemented Kafka-like stream (managed) ingest with transformation workers feeding a centralized feature store.

Added real-time model performance telemetry to close the improvement loop.

Solution Highlights

Sub‑second event aggregation layer
Declarative feature store schemas
Predictive cohort segmentation
Adaptive anomaly scoring

Results

The implementation of these solutions led to significant improvements:

  • Insight Latency

    From hours to seconds

  • Model Iteration Speed

    Faster experiment cadence

  • Data Coverage

    Unified ingest reliability

Analytics dashboard with charts

Services Provided

Data Engineering

Comprehensive service delivery tailored to project requirements.

ML Engineering

Implementing machine learning models for predictive analytics and automation.

Full-Stack Delivery

Comprehensive service delivery tailored to project requirements.

Technology & Implementation

We carefully select modern, proven technologies to deliver robust, scalable solutions that drive long-term business value.

Technology Stack

Enterprise-grade technologies chosen for performance, security, and maintainability.

Python
TypeScript
React
FastAPI
Redis
PostgreSQL
AWS
S3

Implementation Approach

Our development methodology ensures quality, scalability, and successful delivery.

Scalable Architecture

Built to handle growth and adapt to changing requirements

Security First

Enterprise-grade security measures and compliance standards

Performance Optimized

Optimized for speed, efficiency, and exceptional user experience

Future-Ready

Modern patterns and practices for long-term maintainability

The new real‑time layer changed how fast our instructors can act on signals.
Do
Director of Analytics
Data Insights Inc.

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