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A data maturity assessment helps businesses understand how well they manage, connect, analyse and use data. A data management maturity assessment can review governance, analytics, systems and capabilities to identify priorities for improvement.
Agree the assessment scope, deliverables, timeline and rate directly with the talent you choose.
A data capability assessment can review several areas. Agree which ones are included before work begins.
Review how data is collected, organised and managed across areas such as:
Review whether current data platforms and engineering processes support the organisation's reporting, analytics and operational needs.
An analytics maturity assessment can examine how teams turn data into reporting, analysis and information for business decisions.
Review how data priorities, responsibilities, platforms and future investment fit together across the organisation.
A data maturity assessment in Europe can support several business situations.
Use an assessment when reporting, data quality, integration or ownership issues are affecting several parts of the organisation.
Review current capabilities and gaps before deciding what a new platform, warehouse or analytics environment needs to support.
An assessment can help clarify whether the next priority should be data quality, integration, engineering, reporting or another capability.
An enterprise data maturity assessment can provide one view of the current position when different teams are working on separate data improvements.
Move to the relevant delivery service when the required platform, migration, integration or analytics work is already defined.
Agree the deliverables directly with the talent. They may include:
The exact outputs depend on the scope of the job.
Choose a talent whose experience matches the main decision behind the assessment.
Useful when the assessment needs to connect business priorities with data capabilities.
Useful when the assessment focuses on platforms, pipelines and the technical movement of data.
Useful when reporting, dashboards and analytical capability form an important part of the assessment.
Explain what you need the assessment to help you understand or decide. For example:
Tell the talent which systems, documents and people will be available for the job. This may include:
Agree which areas the assessment includes, such as:
Explore previous work involving data environments, platforms or transformation challenges similar to yours.
Ask how the talent will gather evidence, compare capabilities and organise the findings.
Understand which areas will be assessed and how the talent will distinguish established capabilities from gaps that need further work.
Confirm whether you need a maturity view, prioritised actions, capability map, roadmap inputs or another agreed output.
A maturity assessment can identify priorities and dependencies.
Agree the assessment scope and deliverables rather than assuming the work itself will implement the improvements it identifies.
The scope and effort can depend on:
The data maturity assessment can be agreed separately from platform, integration, analytics or implementation work that follows.
The talent sets their own professional rate, and the employer and talent agree the commercial terms directly.
Current charges are listed on Pricing.
Describe your current data environment, the capabilities you want assessed, the problems you are seeing and the decision the assessment needs to support. Then explore profiles, start a conversation and choose the talent whose experience fits the job.