AI Development

Building a Real-Time Analytics Dashboard for a Fintech Startup

How we built a custom analytics platform that processes 50K+ transactions daily and reduced reporting time by 85%.

The Challenge

A growing fintech startup was drowning in data. Their team spent 3+ hours daily compiling reports from multiple systems, and leadership couldn't get real-time visibility into key metrics.

The Solution

We built a custom analytics dashboard using Next.js and Supabase with real-time data streaming. The platform pulls data from their payment processor, banking APIs, and internal systems into a unified view.

Key Features

  • Real-time transaction monitoring with anomaly detection
  • Automated daily, weekly, and monthly report generation
  • Role-based access for executives, analysts, and operations
  • Custom alert system for threshold breaches
  • Mobile-responsive design for on-the-go access

The Results

  • 85% reduction in manual reporting time
  • Real-time visibility into 50K+ daily transactions
  • 3 hours/day saved per analyst
  • Zero-downtime deployment with Vercel edge functions

Technology Stack

Next.js, Supabase (PostgreSQL + Realtime), Recharts, Vercel, custom ETL pipeline

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