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 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 (~3 min). You get a level, a score out of 100 and your weakest category.

Related terms

• Data governance: the trust layer beneath maturity
• Commercial insights: turning reachable data into playback and decisions