BusinessFeb 5, 2026· 7 min read

Data Maturity Models: Where Does Your Organization Stand?

By Rezyl AI

Before you can build a data strategy, you need to know where you are. Data maturity models provide a framework for assessing your organization's current state and charting a path forward.

We use a five-level model adapted for mid-market businesses: Reactive (data is siloed, decisions are gut-driven), Managed (some central data, basic reporting), Integrated (unified data platform, self-service analytics), Optimized (predictive analytics, data-driven culture), and Transformative (AI-powered operations, data as a product).

Most mid-market companies we assess fall between Reactive and Managed. That's not a failure — it's a starting point. The companies that succeed with data aren't the ones that try to jump from Level 1 to Level 5. They're the ones that make deliberate, sustainable progress one level at a time.

The key insight: each maturity level requires different investments. Moving from Reactive to Managed is primarily a people and process challenge. Moving from Managed to Integrated is primarily a technology challenge. Moving from Integrated to Optimized is primarily a culture challenge.

Our Data & AI Readiness Assessment is designed to give you a clear picture of your current maturity level across five dimensions (data infrastructure, data governance, analytics capability, organizational readiness, and security posture) and a practical roadmap for advancement.