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Varejo e E-commerce

Migration of the Analytics Environment to Google Cloud Platform

How the client eliminated on-premise infrastructure costs and gained full elasticity to handle peaks like Black Friday.

Varejo e E-commerce: How the client eliminated on-premise infrastructure costs and gained full elasticity to handle peaks like Black Friday.

01The Client

One of the world's largest retail chains, with a strong presence in Brazil and omnichannel operations (stores, e-commerce, and marketplace).

02The Challenge

  • On-premise analytics environment with high infrastructure and maintenance costs
  • Low elasticity to handle seasonal peaks (e.g., Black Friday)
  • Long lead times for provisioning resources and new data projects
  • Difficulty scaling analytics and AI initiatives
  • Dependency on technical teams for capacity and performance adjustments

03Implemented Solution

  • Full migration of the analytics environment to Google Cloud Platform (GCP)
  • Implementation of modern architecture with Data Lake and Data Warehouse in the cloud
  • Adoption of distributed and elastic processing for analytical workloads
  • Automation of data ingestion and transformation pipelines
  • Implementation of governance, security, and cost control (FinOps)
  • Modernization of dashboards and analytical consumption layers

04Strategic Differentials

  • Cloud-native scalable architecture on demand
  • Cost reduction with pay-per-use model
  • High availability and operational resilience
  • Foundation ready for AI and machine learning initiatives
  • Continuous performance and cost monitoring

05Results Achieved

  • Significant reduction in infrastructure costs
  • Increased performance and analytical processing speed
  • Greater agility in creating new data projects
  • Automatic scalability for high-volume events
  • Technology foundation ready for digital innovation
  • Strengthening of data-driven culture in the organization

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