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Data Maturity Scan

Many organizations invest in data, dashboards, and AI, but lack a clear direction to get optimal value from it. The Data Maturity Scan shows how data-driven your organization really is and where the biggest opportunities for improvement lie. You get an objective view of your current situation, a suitable ambition level, and a concrete development agenda to keep growing in a targeted way.

Data Maturity Scan
Why a Data Maturity Scan

Why a Data Maturity Scan

A Data Maturity Scan is an objective baseline measurement of how data-driven your organization is. It's not about a single score, but about insight into how things connect: where are the bottlenecks, what risks do they carry, and which ambition level fits your strategy and capacity? That makes clear where you stand today and which steps actually deliver progress.

Our scan is derived from the internationally recognized DAMA-DMBOK framework, the standard within data management. Both the 0-to-5 scale and the content of the assessment largely align with this framework. That gives the scan a stable and proven foundation, rather than a loose or arbitrary methodology.

We assess your data maturity across three interconnected domains. Data Capability covers the knowledge, skills, roles, and culture needed to use data effectively. Data Governance covers ownership, definitions, data quality, prioritization, and decision-making. Data Platform covers whether your technical foundation is reliable, manageable, scalable, and future-proof.

For each domain, we determine the current level on a scale from 0 to 5. We also jointly establish a realistic ambition level. Not every organization needs to reach the highest level everywhere: the desired development should fit your strategy, information needs, risks, and available capacity.

Without this scan, data maturity remains a gut feeling. With an objective baseline measurement, you know exactly where you're investing and why.

Our approach

We make your data maturity concrete and actionable, not as a thick advisory report that disappears into a drawer, but as a route you can act on tomorrow. We work in five focused steps.

  • Intake and document analysis. We analyze, among other things, your strategy, architecture, dashboards, KPIs, governance agreements, and existing improvement initiatives.
  • Interviews with key roles. We speak with leadership, management, business, data, and IT to sharpen both the formal setup and daily practice.
  • Assessment and interactive validation. We translate the findings into a well-founded maturity score and jointly determine the desired ambition level.
  • Initiatives and roadmap. We turn the key improvement points into concrete, prioritized initiatives, including goal, impact, dependencies, required effort, and phasing.
  • Final report and advice. You receive a clear report and management presentation with concrete recommendations for the next phase.

The Data Maturity Scan is compact and practical in setup. You don't need to set up a large consultancy project for this: we work in clear steps with straightforward insight into progress and results. We involve both your leadership and business as well as your data and IT people, because data maturity that only lives within the IT department doesn't get off the ground.

The scan is suitable for organizations at the start of their data development, and for organizations that already have a data foundation and want to grow, modernize, or prepare for developments such as self-service BI and AI in a targeted way.

What does a Data Maturity Scan deliver?

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Objective baseline measurement

An objective baseline measurement for Capability, Governance, and Platform.

Insight into bottlenecks

Insight into the key bottlenecks, risks, and dependencies.

Suitable ambition level

A suitable ambition level per domain.

Concrete roadmap

A concrete set of prioritized improvement initiatives and a multi-year roadmap toward data-driven work.

Targeted advice

Targeted advice on governance, roles, architecture, tooling, and organizational setup.

Get started

Data-driven work doesn't start with more technology, but with clear insight and the right priorities. Where do we stand today? Where do we want to go? And which steps deliver the most value? Schedule a no-obligation introduction and discover what the Data Maturity Scan can mean for your organization.

FAQ

  • What is a Data Maturity Scan?

    A Data Maturity Scan is an objective measurement of how data-driven your organization is, across the domains Capability, Governance, and Platform. You get insight into your current level, a suitable ambition level, and a concrete set of improvement initiatives.

  • Which organizations is the Data Maturity Scan suitable for?

    For organizations at the start of their data development, and for organizations that already have a data foundation and want to grow in a targeted way, for example toward self-service BI or AI.

  • How long does a Data Maturity Scan take?

    The scan consists of five steps: intake and document analysis, interviews with key roles, assessment and validation, drawing up initiatives and a roadmap, and a final report. The timeline depends on the size of your organization, but the approach is kept compact and practical.

  • What's the difference between the three domains Capability, Governance, and Platform?

    Data Capability is about knowledge, skills, and culture. Data Governance is about ownership, definitions, data quality, and decision-making. Data Platform is about your technical foundation: is it reliable, manageable, and scalable enough?

  • What does the scan concretely deliver?

    You get an objective baseline measurement, insight into bottlenecks and risks, a suitable ambition level per domain, and a prioritized roadmap with concrete initiatives, including advice on governance, roles, architecture, and tooling.