# Data maturity · Glossary
What data maturity means in the Rodan Data Maturity Pyramid: how far your organisation can collect, quality-check, integrate, analyse and apply AI to data.
[Glossary](/glossary)

# Data maturity

     How far your organisation can collect, quality-check, integrate, analyse and apply AI to data. Maturity is about reach and plumbing, not policy documents.

## The five levels

     The Data Maturity Pyramid™ runs from L1 (data collection) through L5 (AI-driven insights). You cannot skip a level: analytics on untrusted data is guesswork, and AI on a broken foundation is theatre.

- **L1 · Data collection:** data exists somewhere, often in silos

- **L2 · Data quality:** key metrics are defined and reconciled

- **L3 · Data integration:** systems talk; you can join customer, product and finance views

- **L4 · Data analytics:** self-serve reporting and repeatable analysis

- **L5 · AI-driven insights:** models and agents on governed, integrated data

## Relationship to governance

     [Data governance](/glossary/data-governance) answers whether you may and should use the data. Maturity answers whether you technically can. Most mid-market organisations we see are governed on paper but stuck at L2–L3 in practice.

## Score yourself

     [Take the AI Readiness Scorecard](/maturity/assess) (~3 min). You get a level, a score out of 100 and your weakest category.

## Related terms

- [Data governance](/glossary/data-governance): the trust layer beneath maturity

- [Commercial insights](/glossary/insights): turning reachable data into playback and decisions
HTML: https://rodan.io/glossary/data-maturity