Part 3: How BBVA built a global analytics and machine learning platform on AWS

This article details how BBVA built a global analytics and machine learning platform on AWS, focusing on their Analytics, Data, AI (ADA) platform migration strategy.

• Leveraged Amazon SageMaker as the primary tool for data scientists and engineers
• Created dedicated sandbox accounts for different business units with isolated environments
• Implemented comprehensive security and governance controls
• Developed a FinOps practice (FinDataOps) to manage cloud costs and resource utilization
• Established over 60 cost and usage guardrails across sandbox accounts
• Migrated over 5,000 pipelines and 250 sandbox accounts across seven countries
• Achieved a 94% reduction in time to provision analytical work environments

The platform provides a secure, flexible, and cost-efficient environment for data analytics and machine learning, enabling innovation while maintaining strict governance and compliance standards.