Data maturity assessment

Measure current capability and define the next stage.

Create an evidence-led baseline, target state and improvement roadmap.

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A data governance evidence workspace with scorecards and operating-model documents.

Evidence-led deliveryEvidence into action.

Assessment dimensions

A balanced view of capability.

Evidence, interviews and scoring reveal the highest-value improvements.

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Data leadership and strategy

Governance and accountability

Data quality

Metadata and master data management

Data architecture

Reporting and analytics

Security, privacy and compliance

People, skills and organisational culture

Performance measurement

Continuous improvement

Maturity levels

From reactive to optimised.

Level 1 - Initial: activities are reactive, informal and dependent on individual knowledge.

Level 2 - Developing: some standards and controls exist but are not consistently applied.

Level 3 - Defined: documented policies, processes, roles and governance structures are established.

Level 4 - Managed: performance is measured, monitored and actively managed.

Level 5 - Optimised: management of data is embedded in strategy, operations and continuous improvement.