Data Mesh Implementation for Global Retail Chain
Revolutionizing customer analytics with a distributed data architecture to support a multi-regional retail giant scaling to 500 stores.
2023 Implementation
The Challenge
The global retailer faced major data silos that limited their ability to analyze store performance across 5 regions. Legacy systems made it impossible to correlate sales data from multiple channels, and the growing e-commerce division needed real-time insights to support pricing strategies.
Key Challenges
- 30+ point-of-sale systems across 80+ stores
- Legacy ERP system causing data inconsistency
- Lack of real-time analytics for regional performance

Global implementation across 5 regions
Our Solution
We implemented a domain-driven architecture with federated data infrastructure across regional systems. This domain-specific approach enabled real-time analytics on product categories and regional performance in different timezones with auto-scaling capabilities for regional demand variations.
Data Mesh Architecture
300+ microservicesDomain decomposition based on product types and geographic regions. Created 15 data products including real-time dashboard generation capabilities with self-serve analytics tools
Unified Dashboard
Initial implementation across 3 countries
With automated pipeline optimization
Key Milestone Achieved
We delivered a global data platform that enables location-based analytics with 72% faster reporting and +23% regional performance growth.
Growth through regional market optimization
Improved customer engagement
34% increase in 830 stores
3 new market entries
5 new locations for product lines in Europe
7 new market entries in 6 months
- 5 geographic zones
- Custom data mesh per region
- Local optimization
- Regional data governance
Published March 10, 2025