Implementing data governance on AWS: Automation, tagging, and lifecycle strategy – Part 1

This article provides a practical guide for implementing data governance on AWS, addressing the gap where only 60% of organizations have implemented governance strategies. It covers foundational elements including classification frameworks, tagging strategies, and organizational alignment.

• Only 60% of organizations have implemented data governance; 40% still planning
• Establish data classification framework aligned with NIST impact levels (high/moderate/low)
• Implement mandatory tags: DataClassification, DataOwner, Compliance, Environment, CostCenter
• Use AWS Organizations, CloudTrail, Config for centralized monitoring and auditing
• Define clear roles: data owners, platform teams, security teams, application teams
• Target 95% resource tagging compliance with weekly monitoring via AWS Config
• Automate remediation using EventBridge, Lambda, and Systems Manager
• Track KPIs: tagging compliance, mean time to respond, manual task reduction, cost optimization
• Part 2 covers technical implementation, preventive controls, and automated remediation patterns

This foundational guide establishes prerequisites and strategy for scalable, automated data governance on AWS, with technical implementation details in Part 2.