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Custom agentsHow we measure
Where your data stands, measured the same way.
Every piece of work starts by agreeing where you are. Our Data Maturity Framework scores four elements of your data across four levels, so we can show where you stand, where you need to be and what closes the gap.
What we look at
Four elements of data maturity.
Compliance
Following the laws and rules that apply to your data, so you stay clear of legal trouble, protect your reputation and keep customers' trust.
Governance
How the availability, usability, integrity and security of your data are managed, so it's accurate, consistent and used responsibly.
Systems
The technical infrastructure: the tools that collect, store, process and manage your data, from databases to warehouses and lakes.
Performance
How well data turns into measurement: the metrics and KPIs you track, how visible data quality is, and how your reporting works.
The framework
Four levels, from initial to leading.
Each element is scored on the same four levels, against the same descriptions, so a score means the same thing for every client and every time we measure.
| Element | Initial | Developing | Advanced | Leading |
|---|---|---|---|---|
| Compliance | Basic awareness of data compliance. Few or no policies in place. Reactive to issues, usually because of outside pressure. | Initial policies and procedures in place. Staff trained on compliance. Monitoring and reporting have begun. | Comprehensive policies, fully implemented. Regular audits and continuous monitoring. Ahead of regulatory change. | Industry-leading practice with continuous improvement. An integrated compliance system. Compliance built into the culture. |
| Governance | Limited understanding of data governance. Ad hoc practices. No formal roles or responsibilities. | A framework taking shape. Data stewards assigned. Basic processes being standardised. | A mature framework with clear policies and processes. Active stewardship. Standard, documented practice. | A best-in-class framework, continuously improved. Embedded in the culture and in every process. |
| Systems | Fragmented systems with little integration. Manual data entry. Basic or legacy tools with limited functions. | Better integration, with some silos left. Some data entry automated. Upgraded systems. | Fully integrated systems with data flowing in real time. Advanced automation. Modern, robust and scalable. | State-of-the-art systems, seamlessly integrated. Extensive use of AI and machine learning. Built to flex and scale. |
| Performance | No formal metrics or KPIs. Little visibility of data quality. Basic, manual reporting. | Basic metrics and KPIs. Data quality improving. Automated reporting introduced. | Advanced metrics and KPIs. Data quality clearly visible. Real-time reporting. | Predictive analytics in real time. Full control of data quality. Processes continuously optimised. |
Two questions behind every score
Can you, and are you ready?
Maturity has two sides. Technical capability is the infrastructure, tools, skills, automation, governance and quality you have. Business readiness is how well your data work lines up with your goals: sponsorship, culture, planning and how decisions get made.
Where you sit on the two decides what comes first.
How we use it
From a score to a roadmap.
Score where you are
We look at each element with you: your people, your systems, your data and your reporting.
Agree where you need to be
Not every business needs to lead on everything. We agree the level each element needs for what you're trying to do.
Close the gap
The gap between the two becomes the roadmap: what we build, in what order, and why.
Measure again
We score again as the work lands, so progress is something you can see rather than something we tell you.
Where do you stand?
Let's find out together.
It starts with a conversation about what you need to know, and what gets in the way today.