Case Study - Analytics
Challenges
In order to adapt to the ever-changing financial markets, our client, a leading provider of cloud, data, and AI services, faced a significant challenge. They needed a comprehensive web application to monitor and manage fluctuations in index and commodity prices. Furthermore, the solution had to seamlessly integrate real-time financial data and offer advanced analytics capabilities for actionable insights. Our client was in search of a robust, scalable, and secure solution to overcome these obstacles.
Objectives
- The primary goal of the project was to create a sophisticated analytical solution that could effectively tackle the intricate obstacles faced in dynamic financial markets. Emphasizing the importance of integrating real-time data seamlessly from reliable financial data provider APIs, the project aimed to provide precise and timely insights.
- By equipping users with cutting-edge analytics modules and user-friendly visualization tools, the project sought to elevate the user experience and enable well-informed decision-making.
- With the ultimate objective of surpassing client expectations, the project aimed to strategically position them as frontrunners in data-driven financial analysis.
Solutions
- Successfully deployed a cutting-edge data integration system that effortlessly integrates data from trusted financial data providers.
- Created sophisticated analytics modules to empower users in analyzing market data, both past and present. Placed utmost importance on user satisfaction by integrating user-friendly visualization tools.
- Crafted a scalable solution architecture to adapt to growing data volumes and changing user requirements.
Impact
- Enhanced the overall security posture of the application by implementing access controls, authentication mechanisms, and encryption options.
- Achieved optimal performance and cost efficiency by optimizing instances for compute, memory, or storage requirements.
- Improved operational efficiency by reducing manual efforts and mitigating the risk of human errors.
- Developed a scalable architecture capable of handling large volumes of financial data while ensuring robust security measures to safeguard sensitive information.
Tech Stack
Front-End Language, Framework
Javascript
Angular
Back-End Language, Framework
javascript
Node JS
Database
Mysql
Others
reddis
Digital Ocean