Global Trade Service (GTS)

Overview

The GTS project was aimed at consolidating trading data for raw materials and finished goods, providing a unified platform for real-time updates, automated compliance, and enhanced analytics. This initiative aims to streamline trading operations, reduce errors, and improve data accessibility and compliance tracking.

Challenge
  • Disparate systems caused delays in accessing trading information, leading to inefficiencies and delayed decision-making.
  • High error rates in manual processes resulted in inaccurate data and compliance issues.
  • Lack of real-time data integration hindered the ability to monitor trading activities and respond to market changes promptly.
  • Inconsistent data formats and siloed information made it difficult to gain a comprehensive view of trading operations.
  • Existing tools struggled to handle large volumes of trading data, affecting the ability to derive actionable insights and ensure compliance.
Solution
  • Implemented the GTS platform to integrate trading data into a single, unified system, enabling real-time updates on raw material and finished goods trading.
  • Developed automated compliance and documentation processes, reducing manual errors and ensuring adherence to regulatory requirements.
  • Utilized Databricks to ensure data consistency and accelerate analytics, providing real-time insights and improving decision-making capabilities.
  • Established a centralized data repository on Azure, ensuring consistent and accessible data for analysis and reporting.
  • Deployed advanced analytics and reporting tools using Power BI, providing visualizations and dashboards for trading data and compliance tracking.
  • Leveraged Azure's scalable infrastructure to handle large volumes of trading data, ensuring high performance and reliability.
  • Implemented event-driven architecture to enable real-time data sharing and communication between trading, compliance, and analytics teams, fostering greater efficiency and coordination.
Key Results
Reduced Errors

Reduced errors by 30% through automated compliance and documentation processes, ensuring accurate and reliable data.

Improved Data Access

Improved access to trading data by consolidating information into a single platform, enabling real-time updates and enhanced visibility.

Enhanced Compliance Tracking

Enhanced compliance tracking through automated processes and real-time analytics, ensuring adherence to regulatory requirements and reducing risks.

Technology
  • Databricks

  • Azure

  • Python

  • SQL

  • Power BI