The Enterprise Data Modernization Checklist is a practical guide for planning and executing a successful data modernization program. It covers 18 actions across estate assessment, target architecture, incremental delivery, data movement, governance, AI readiness, and cost management. Use it to prioritize workloads, reduce migration risk, improve data quality, and build a platform ready for analytics and AI.

Assess Your Data Modernization Strategy

Review every critical stage of your modernization initiative, from evaluating legacy systems and selecting target architectures to planning incremental migrations, synchronizing data, and establishing governance. The checklist helps identify technical debt, costly legacy workloads, governance gaps, migration risks, and areas that should be prioritized before modernization begins.

Build a Modern Data Platform for Analytics and AI

Apply proven modernization practices that improve scalability, reduce operational costs, and prepare your organization for AI. The checklist guides teams through lakehouse architecture, change data capture (CDC), phased delivery, governance, ownership, and cost tracking so every modernization phase delivers measurable business value while creating a stronger foundation for future analytics and AI initiatives.