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Comprehensive Digital Transformation for Scalable Telecom Operations
  1. case
  2. Comprehensive Digital Transformation for Scalable Telecom Operations

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Comprehensive Digital Transformation for Scalable Telecom Operations

n-ix.com
Telecommunications
eCommerce
Consumer products & services

Business Challenges

Legacy IT infrastructure hindered scalability and agility, leading to slow time-to-market for new solutions. Fragmented vendor ecosystem, outdated BI systems with reporting delays, and on-premises infrastructure limitations constrained operational efficiency and market expansion capabilities.

About the Client

A fast-growing mobile virtual network operator (MVNO) serving migrant communities across Europe with Pay As You Go SIM cards and digital services.

Key Project Goals

  • Modernize IT infrastructure for scalability and agility
  • Accelerate time-to-market for digital solutions
  • Implement multicloud strategy (AWS/Azure) for flexibility
  • Optimize business intelligence and reporting systems
  • Consolidate vendor partnerships under a unified R&D center

Core System Requirements

  • Seamless omnichannel user experience across web, mobile, and customer service channels
  • Cloud-native microservices architecture on AWS and Azure
  • Automated CI/CD pipelines for rapid deployment
  • Mobile applications for SIM management and top-up services
  • Real-time data analytics and reporting dashboard

Technology Stack

Hybris B2C platform
Azure Kubernetes Services (AKS)
AWS cloud infrastructure
Microservices architecture
Data lake solutions

System Integrations

  • CRM systems (Microsoft Dynamics AX)
  • Payment gateways for top-up services
  • Telecom network APIs
  • Third-party BI tools

Non-Functional Requirements

  • High scalability for global market expansion
  • 99.9% system availability SLA
  • Real-time data processing capabilities
  • Multi-tenancy support for 10+ countries
  • Automated testing and deployment pipelines

Expected Business Outcomes

Enables 50% faster time-to-market for new features, reduces infrastructure costs by 40% through cloud optimization, supports 10x customer base growth with automated systems, and improves operational efficiency through real-time analytics and consolidated R&D capabilities.

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