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Hybrid Data Integration Platform for Global Beverage Company
  1. case
  2. Hybrid Data Integration Platform for Global Beverage Company

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Hybrid Data Integration Platform for Global Beverage Company

stratoflow.com
Food & Beverage

Digital Transformation Challenges in Data Integration

The client faced difficulties integrating regional on-premise systems with cloud environments during digital transformation. Key pain points included disparate data protocols, legacy system limitations, security constraints, and the need for scalable data exchange without overhauling existing infrastructure.

About the Client

A multinational beverage corporation undergoing digital transformation to modernize legacy systems and cloud infrastructure

Integration Architecture Goals

  • Design a scalable hybrid integration architecture
  • Reuse existing data exchange capabilities
  • Enable seamless connectivity between legacy and modern systems
  • Support multiple protocols (REST, SOAP, FTP, IBM WebSphere)
  • Tailor MuleSoft platform to handle projected data volumes

Core System Functionalities

  • Top-level conceptual data flow visualization
  • Canonical data model with entity-attribute mapping
  • System-specific data entity definitions
  • Multi-protocol integration support
  • Scalability assessment framework

Technology Stack

MuleSoft Anypoint Platform
Mule Runtime
CloudHub
REST/SOAP APIs
IBM WebSphere MQ

System Connectivity Needs

  • Legacy on-premise ERP systems
  • Cloud-based SaaS applications
  • File transfer systems (FTP/SFTP)
  • Message queue systems (IBM WebSphere)
  • Security infrastructure (SSO, encryption)

Operational Requirements

  • High scalability for growing data volumes
  • Enterprise-grade security controls
  • Low-latency data processing
  • Backward compatibility with legacy systems
  • Cloud-native elasticity

Business Impact of Enhanced Integration

Enables seamless data exchange between legacy and modern systems, reducing operational complexity by 40%. The hybrid architecture preserves existing investments while supporting cloud scalability, with projected 30% cost savings in system maintenance and 50% faster integration deployment times.

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