Project Info
Client
Banking Services Firm, Hyderabad
Service
Admin Dashboard Development & Optimization
Industry
Banking & Financial Services
Technology Stack
.NET Razor Pages, EF Core, PostgreSQL,Store Procedures
Challenge
Our client required a centralized admin dashboard to monitor banking fraud activities across multiple banks on a daily basis. The system needed to display large volumes of transactional and fraud-related data in a highly visual, interactive, and performant manner. Key challenges included handling complex data aggregation, implementing global filters across reports, optimizing database performance, and ensuring fast load times even with high data volumes.
Our Solution
We designed and developed a scalable admin dashboard using .NET Razor Pages, focused on performance, usability, and data clarity. The dashboard provided real-time insights into fraud occurrences per bank, per day, with interactive charts and detailed drill-down reports for operational and compliance teams.
Interactive dashboards for fraud analytics- Daily, bank-wise fraud monitoring
- Visual reports for quick decision-making
- Scalable architecture for future expansion
- Optimized database queries for large datasets
- Secure server-side configurations
- User-friendly admin experience
Technical Implementation
Implemented global filters using session-based state management
Used PostgreSQL stored procedures for faster data retrieval
Optimized queries using database functions and indexing
Ensured high performance under heavy data load
Impact & Results
Significant reduction in dashboard load times
Seamless report generation across banks
Accurate aggregated and bank-level insights
High client satisfaction and rapid delivery
Conclusion
This project successfully delivered a high-performance, scalable admin dashboard that enables banking teams to monitor and analyze fraud activity across multiple banks in real time. By combining strong backend optimization with an intuitive visual experience, we helped the client gain faster insights, improve operational efficiency, and confidently scale their fraud monitoring systems.
Data Optimization
Leveraged PostgreSQL stored procedures and database functions to optimize large-scale data processing, significantly improving query performance and dashboard load times.
Scalable Architecture
Designed a robust and scalable architecture capable of handling increasing data volumes while maintaining consistent performance across reports and visual dashboards.
Business Impact
The solution delivered measurable performance gains, impressed stakeholders, and was completed within a short timeline—helping the client respond faster to fraud patterns and make informed, data-driven decisions.