Case Study - Business Intelligence & Analytics Platform

A comprehensive SaaS analytics platform providing real-time business insights, custom dashboards, and automated reporting for data-driven decision making.

Client
DataInsight
Year
Service
SaaS Development

Overview

DataInsight was developed for a growing SaaS company specializing in business intelligence solutions. They needed a scalable, multi-tenant platform that could handle large volumes of data while providing intuitive visualization tools for non-technical users. The goal was to democratize data analytics for businesses of all sizes.

What we did

  • SaaS Architecture
  • Data Processing
  • Custom Dashboards
  • Real-time Analytics
  • API Integration
  • Enterprise Security

The platform Erwin delivered has exceeded our expectations in every way. The scalability, performance, and user experience have positioned us as a serious competitor in the business intelligence market.

Robert Kim, CTO at DataInsight

Technical Implementation

The platform was built with a modern microservices architecture using Next.js 14 and TypeScript for the frontend dashboard, with a powerful backend built on Node.js and Python for data processing. The system uses Apache Kafka for real-time data streaming and ClickHouse for high-performance analytics queries.

Key Features Developed:

  • Drag-and-Drop Dashboard Builder: Intuitive interface for creating custom analytics dashboards
  • Real-time Data Processing: Live data ingestion and processing with sub-second latency
  • Advanced Visualizations: Interactive charts, maps, and custom visualization components
  • Multi-tenant Architecture: Secure, isolated environments for enterprise clients
  • API Gateway: RESTful and GraphQL APIs for seamless third-party integrations
  • Automated Insights: Machine learning-powered anomaly detection and trend analysis

Technical Architecture:

  • Frontend: Next.js 14, TypeScript, D3.js, Recharts, Tailwind CSS
  • Backend: Node.js, Python, Express.js, FastAPI
  • Data Processing: Apache Kafka, Apache Spark, ClickHouse
  • Database: PostgreSQL, Redis, MongoDB for different data types
  • Infrastructure: Kubernetes, AWS EKS, S3, CloudFront
  • Security: JWT authentication, OAuth2, SOC2 compliance

Results

Enterprise clients onboarded
100+
Data processed monthly
10TB+
Average query response time
<500ms
Platform uptime
99.9%

The DataInsight platform successfully established itself as a competitive business intelligence solution, attracting major enterprise clients across various industries. The combination of powerful data processing capabilities and intuitive user experience led to rapid market adoption.

The platform now processes over 10TB of data monthly, serving insights to thousands of business users. The drag-and-drop dashboard builder has been particularly successful, with users creating over 5,000 custom dashboards within the first six months.

DataInsight has revolutionized how our team approaches data analysis. The real-time insights and easy-to-use dashboard builder have made everyone in our organization more data-driven in their decision making.

Jennifer Walsh, Head of Analytics at TechCorp

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Contact Information

Email

hello@erwinalam.dev

Location

Indonesia (Available for remote work worldwide)

Response Time

Usually within 24 hours