FinTech

3x Faster Decision Making with Real-Time Data

Transforming batch processing into real-time insights for 50M+ data points

4 months
4 developers

Overview

DataFlow, a FinTech company, relied on overnight batch processing for their analytics, meaning decisions were made on day-old data. They needed real-time visibility into their operations to compete effectively.

Technologies Used

ReactD3.jsWebSocketKafkaClickHousePython

The Challenge

DataFlow needed to modernize their analytics infrastructure

Stale Data

Dashboard updated once daily via overnight batch jobs

Poor Performance

Loading 50M+ data points took 30+ seconds

Limited Insights

No ability to drill down or filter data in real-time

Scalability Concerns

System couldn't handle growing data volume

Our Solution

We built a real-time streaming analytics platform

1

Streaming Architecture

Implemented Apache Kafka for real-time data ingestion and processing

Data available within 100ms of generation
2

Optimized Database

Migrated to ClickHouse for fast OLAP queries on large datasets

Query performance improved from 30s to < 1s
3

Interactive Visualizations

Built custom D3.js charts with drill-down capabilities

Users can explore data at any granularity level
4

WebSocket Updates

Implemented WebSocket connections for live dashboard updates

Dashboard updates automatically without refresh

The Results

The new dashboard transformed decision-making

Before
24 hours
After
< 100ms
Data Latency
↑ 99.9%
Before
30+ sec
After
< 1 sec
Load Time
↑ 97%
Before
N/A
After
50M+
Data Points
↑ New
Before
Daily
After
Real-time
Updates
↑ Instant

Additional Benefits

  • Identified and prevented $1M+ in fraudulent transactions
  • Reduced time-to-insight from 24 hours to minutes
  • Enabled data-driven decision making across all departments
  • System now processes 100M+ events daily
LM
"The real-time analytics dashboard has fundamentally changed how we operate. We can now see issues as they happen and respond immediately. Last quarter, we caught a fraud pattern within minutes instead of discovering it the next day. The ROI on this project was realized in the first month."
Lisa Martinez
VP of Analytics, DataFlow

Technology Stack

Frontend

  • React
  • D3.js
  • WebSocket
  • TypeScript

Data Processing

  • Apache Kafka
  • Python
  • PySpark
  • ClickHouse

Backend

  • Node.js
  • FastAPI
  • Redis
  • PostgreSQL

Infrastructure

  • AWS
  • Docker
  • Kubernetes
  • CloudWatch

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