Cloud Data Warehousing In Azure For A Forex Trading Company
About Client
A Forex trading company needed real-time analytics to make quick and informed decisions. The company does currency trading and is well-known globally. As the business expanded, managing the large volume of data and staying compliant posed a challenge.
Problem Statement
The company shared the following pain points:
- We process billions of trade records daily, but our legacy systems can’t handle the scale, causing slow query performance and higher costs.
- Real-time analytics is crucial for us to manage risks and make quick trading decisions, but our current systems can’t support the speed required.
- We need to meet regulatory requirements like MiFID II and Dodd-Frank, but our reporting is slow and not fully compliant.
- We collect data from various platforms and third-party providers, and putting it all together in one system is challenging.
- Our reports are outdated and take forever to generate.
Solution Offered
When the forex trading company approached us with various challenges in compliance, data management, and performance, we assigned the best data engineering team and implemented a cloud-based data warehouse solution on Microsoft Azure to remove the bottlenecks.
Tech Stack Used
- Azure Synapse Analytics
- Azure Data Factory, Azure Stream Analytics
- Azure Purview, Role-Based Access Control
- Azure Key Vault, Azure Security Center
- Power BI, Azure Machine Learning
- Power Automate, Azure Logic Apps
Development Process
- Migrated data to Azure Synapse Analytics for scalable storage and analytics.
- Integrated real-time data streams using Azure Data Factory and Azure Stream Analytics.
- Implemented Azure Purview for data governance and regulatory compliance.
- Ensured data security with Azure Key Vault and Azure Security Center.
- Our team has Set up Power BI and Azure Machine Learning for live reporting and predictive analytics respectively.
- Using Power Automate and Azure Logic Apps we have automated the workflows and alerts.
Outcomes
- 40% improvement in data processing speed, allowing the company to handle increased trade volumes without performance issues.
- 30% reduction in reporting time, enabling faster decision-making with real-time insights.
- 25% cost savings due to the efficient use of serverless SQL pools and data compression techniques.
- 100% compliance with MiFID II and Dodd-Frank regulations, ensuring fully auditable and traceable data for audits.
- 50% reduction in manual reporting efforts through automation, freeing up resources for other critical tasks.
Future Implications
- The scalable DW solution will enable the company to seamlessly handle growing data volumes and support future expansion.
- It will empower the company to manage trading risks more effectively and optimize strategies for greater success.
- The improved trading algorithms will enhance performance, driving higher profitability.
- Operational costs and manual reporting efforts will decrease, allowing the company to allocate resources to more strategic and growth-focused initiatives.
Conclusion
The Aegis team successfully sorted the challenges faced by the forex trading company by providing an Azure-based data warehousing solution. It has significantly improved the company’s ability to manage, analyze, and act on real-time trading data and showcases an enhanced trading performance.
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