Case Study

Building a Data-Driven Capital Markets Organization with AWS Cloud and Analytics

BYMA, Argentina's leading stock exchange and capital markets operator, needed to unify dispersed business data and build a data-driven culture to support advanced analytics and critical integrations like Nasdaq custody systems. Netrix designed and implemented a cloud-based Data Lake on AWS with secure ingestion, machine learning capabilities, and Infrastructure-as-Code practices. The result was centralized data governance, faster business insights, and a modern foundation for continued cloud adoption.

The Client

BYMA (Bolsas y Mercados Argentinos) is Argentina's leading stock exchange and capital markets operator, providing trading, settlement, custody, and market services that support the country's financial ecosystem.

The Challenge

BYMA sought to strengthen its data architecture and foster a data-driven culture across the organization. Key challenges included:

Large volumes of dispersed business data
Limited ability to generate advanced business insights
Need for centralized data governance
Desire to improve development speed and scalability
Requirement to integrate with critical market systems such as Nasdaq

The organization needed a modern cloud-based foundation for future analytics initiatives.

The Solution

Netrix partnered with BYMA to design and implement a cloud-based Data Lake on AWS. Key deliverables included:

Data strategy and architecture definition
AWS-based Data Lake implementation
Secure ingestion and transformation processes
Nasdaq custody system integration
Machine learning capabilities for advanced use cases
Infrastructure-as-Code adoption

The Implementation

Assessment of existing data landscape
Definition of cloud and data strategy
Design of scalable AWS architecture
Migration and ingestion of critical business data
Integration with Nasdaq platforms
Knowledge transfer and organizational enablement

The Results

Outcome Area	Delivered
Data-Driven Decision Making	Established a centralized data platform Improved access to trusted business data Enabled broader analytics adoption
Improved Business Insights	Faster generation of actionable intelligence Greater visibility across market operations Enhanced support for strategic initiatives
Successful Nasdaq Integration	Secure exchange of critical financial information Improved reliability of market data operations
Operational Agility	Reduced infrastructure costs Faster development cycles Stronger cloud adoption across teams

The Transformation

BEFORE

AFTER

Dispersed data sources
Limited analytics capabilities
Traditional infrastructure model
Difficult integration processes
Limited cloud expertise

Centralized AWS Data Lake
Data-driven decision-making
Cloud-native architecture
Seamless Nasdaq integration
Infrastructure-as-Code adoption

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