Making Strategic Data Platform Modernization Decisions
Every company wants AI. Few have the data foundation to support it.
That’s the uncomfortable reality facing IT leaders today. While teams race to pilot copilots, agents, and advanced analytics initiatives, many organizations are still running on aging databases, fragmented architectures, and data platforms designed for a very different business environment.
This white paper details recommendations and best practices for your data platform modernization strategy. You’ll learn how to evaluate your existing estate, identify the workloads that deserve attention first, and make modernization decisions that create value beyond the migration itself.
Whether you’re planning a cloud migration, reducing technical debt, or preparing your organization for AI adoption, the decisions you make about your databases today will influence what your business can achieve tomorrow.
What You’ll Learn
- Why database modernization has become a critical prerequisite for successful AI, analytics, and data initiatives.
- How to evaluate modernization paths including retention, rehosting, replatforming, rearchitecting, and consolidation based on workload requirements.
- The business factors that matter most when assessing your data estate, including cost, risk, resilience, governance, and future data use.
- How to choose the right Azure database services for both relational and purpose-built workloads.
- Practical guidance for creating a modernization roadmap that supports reporting, analytics, and AI outcomes while controlling costs.
Build a Data Foundation That Supports What’s Next
The strongest AI strategies start with trusted data.
Download “Making Strategic Data Platform Modernization Decisions” to learn how to evaluate your data estate, prioritize modernization investments, reduce migration risk, and prepare your organization for analytics and AI initiatives that deliver measurable business outcomes. Fill out the form on this page to start making better data platform modernization decisions.
Frequently Asked Questions
What is database modernization?
Database modernization is the process of improving the data platforms that store, manage, and serve your organization’s data. This may include moving databases to cloud-native services, consolidating redundant systems, upgrading legacy platforms, improving governance, or adopting new database technologies.
How do I know if my organization needs data platform modernization?
Many organizations begin modernization when they face rising support costs, end-of-support platforms, performance issues, growing security requirements, or increasing demands for analytics and AI. If critical data is difficult to access, spread across multiple systems, or creating operational risk, modernization can help improve visibility, reduce complexity, and support future business goals.
What is the business value of database modernization?
A successful modernization initiative can reduce infrastructure and administration costs, strengthen security and compliance, improve resilience, accelerate reporting and analytics, and provide a stronger foundation for AI initiatives. For business leaders, the outcome is often faster decision-making, reduced operational risk, and greater agility when responding to changing market conditions.
Download the White Paper