Multi-Tenant Bank Account Scraping Solution
Developed a secure, multi-tenant bank account scraping solution for PT. Ahli Bangun Sistem to aggregate transaction histories from multiple financial institutions, enabling improved financial data analysis and comprehensive reporting for business clients.
Hire Me99.5%
Accuracy rate in transaction data extraction and categorization
80%
upImprovement in financial data processing efficiency
200%
upIncrease in actionable financial insights available to clients
90%
downReduction in time to generate comprehensive financial reports
Project Overview
The Multi-Tenant Bank Account Scraping Solution was developed to help PT. Ahli Bangun Sistem's business clients gain better insights into their financial data by automatically aggregating transaction histories from multiple bank accounts and financial institutions.
Project Requirements
- Create a secure system for aggregating bank transaction data
- Implement multi-tenant architecture for multiple business clients
- Develop data normalization and categorization algorithms
- Build comprehensive financial reporting and analytics tools
The Challenge
The main challenge was creating a secure system that could handle sensitive financial data while maintaining strict data isolation between tenants. Additionally, the system needed to adapt to different bank interfaces and handle various data formats while ensuring compliance with financial regulations.
The Approach & Solution
I developed a robust multi-tenant platform using Ruby on Rails with advanced security measures including end-to-end encryption, secure credential storage, and comprehensive audit logging. The system includes intelligent data parsing algorithms, automated transaction categorization, financial analytics engines, and customizable reporting dashboards. I implemented strict tenant isolation and role-based access controls to ensure data security.
