CASE STUDY — Financial Services
Market Data
Unlocking Data Potential with a Scalable and Integrated Platform
Sector:
Financial Services
Focus:
Market Data Platform
BUSINESS CHALLENGE
Siloed market data slowing trading and research teams
The exponential growth of market data, exchanges, brokers, alternative providers, created silos, inefficiencies and integration challenges across trading, research and business teams. A new Data Platform initiative was needed: a scalable, high-performance architecture for analytics, risk modeling and strategy.
SOLUTION IMPLEMENTED
An end-to-end platform unifying market feeds and research
End-to-end data platform processing vast amounts of structured and unstructured trading data. It integrates market feeds, internal research and third-party sources, leveraging automation and best practices to ensure high data governance standards and analytics capabilities.
TECHNOLOGY
A market data platform built to store, unify, and visualize trading data at scale
DATA PLATFORM
Azure Data Lake Gen2
Provides secure, scalable data storage for large volumes of structured and unstructured trading data across the platform.
SERVING
Azure Synapse Analytics
Acts as a centralized data platform and data hub, unifying market feeds and research data for analysis.
ANALYTICS
Microsoft Fabric & Power BI
Enables real-time tracking, cost visibility, and automated allocation through interactive, up-to-date dashboards.
Results & ROI
What this solution delivers once deployed
OPERATIONAL IMPROVEMENTS
Enhanced processing speed, advanced analytics, and data governance for trading and research teams.
COLLABORATION
Seamless integration of internal and external market data, enabling cross-functional decisions.
SCALABILITY
Future-proof architecture for growing market data volumes and evolving needs.
