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The DAMA wheel

Understanding the DAMA Wheel

A friendly guide to managing what might just be your organisation's most valuable asset: its data. No jargon, just a clear explanation.

What is DAMA?

Every organisation runs on data: customer records, sales numbers, reports, documents and more. But data only creates value when it is trustworthy, well organised and easy to use. That is where DAMA (the Data Management Association) comes in. DAMA created a globally recognised framework, often called the DAMA wheel, that breaks data management into clear, manageable pieces.

Think of it like maintaining a house. You do not just focus on one room; you look after the foundation, the plumbing, the security and the day-to-day upkeep. The DAMA wheel does the same for your data, making sure nothing important gets overlooked.

See also: A good data platform: why it pays off and Data products: value, necessity and how DAMA helps

The hub

The centre: Data Governance

At the centre of the wheel sits Data Governance: the rules, roles and responsibilities that hold everything together. It answers the simple but vital questions: who owns this data? Who can use it? How do we keep it accurate and safe? Governance is the steering wheel that keeps every other area moving in the same direction. cimt puts this into practice through data governance and data quality

The spokes of the wheel

The core principles around it

Surrounding the hub are the key areas of good data management. Together they cover the whole of the data practice.

Data Quality

Making sure information is accurate, complete and reliable, so people can trust what they see.

Metadata Management

Keeping a clear 'dictionary' of what your data means and where it comes from.

Data Architecture

Defining the overall structure and standards for how data is organised across the organisation, like the master blueprint for a building.

Data Modelling & Design

Detailing how individual data elements relate and connect, like the working drawings that turn the blueprint into something you can build.

Data Security & Privacy

Protecting sensitive information and staying compliant with regulations like GDPR.

Reference & Master Data

Creating a single, consistent 'source of truth' so everyone works from the same numbers.

Data Warehousing & Business Intelligence

Turning raw data into clear reports, dashboards and insights.

Data Integration & Interoperability

Connecting systems so data flows smoothly instead of being copied by hand.

Document & Content Management

Organising files, records and unstructured information.

Data Storage & Operations

The behind-the-scenes engine that keeps everything stored, backed up and running.

Why it matters

When these areas work together

When these areas are aligned, organisations make faster decisions, reduce risk, cut wasted effort and build genuine trust in their numbers.

When they are neglected, the familiar pain follows: reporting delays, compliance worries and figures that do not add up. The DAMA wheel helps you stay ahead of that, structurally.

Use the wheel

The DAMA Wheel as an image

Want to use the wheel in a presentation, an internal document or a workshop? Go ahead, as long as you credit cimt. Here it is in high resolution.

The DAMA wheel: data governance at the centre, surrounded by the ten DMBoK knowledge areas.

Download as PNG (1320 by 1320) or SVG (scalable)

Free download

Data management that works: DAMA DMBoK management guide (PDF)

A light management guide: management summary, per knowledge area a relatable example, what it delivers and where to start. With a plan for the first 90 days and a Data Governance Operating Model Canvas as an appendix.

  • · Management summary: why, how and what
  • · Per knowledge area a practical example, the result and the first step
  • · A plan for the first 90 days
  • · Appendix: Data Governance Operating Model Canvas, completed and blank

18 pages, PDF

No spam. The download link arrives by email and is valid for seven days.

Who helps you with this

Talk to the people who do this every day

Not a sales pitch but a half-hour conversation about substance: where your organisation stands on the DAMA wheel, and what a sensible first step looks like.

Book an introduction
  • Taco van het Reve

    Taco van het Reve

    Managing Director

  • Robin du Maine

    Robin du Maine

    Managing Consultant

  • Mirco Kriesten

    Mirco Kriesten

    Managing Consultant

  • Wafaa Derham

    Wafaa Derham

    Managing Consultant

Where do you stand?

Take the DAMA maturity assessment

Our Data Governance Maturity Assessment is built on the DAMA framework. It shows you where your organisation is already strong, where the gaps are and what to tackle next: a clear, practical starting point.

Frequently asked questions

The DAMA Wheel: what people ask us

What is the DAMA Wheel?

The DAMA wheel is the visual representation of the DAMA DMBoK, the international standard for data management. Data governance sits at the centre, with ten further knowledge areas forming a ring around it. Together they make up the eleven knowledge areas of the framework. The wheel exists to give an overview: it shows that the areas are connected and cannot be arranged in isolation.

Which knowledge areas are on the wheel?

Around data governance sit Data Architecture, Data Modelling & Design, Data Storage & Operations, Data Security & Privacy, Data Integration & Interoperability, Document & Content Management, Reference & Master Data, Data Warehousing & Business Intelligence, Metadata Management and Data Quality. With governance at the core that makes eleven areas.

What is the difference between the DAMA Wheel and the DMBoK?

The DMBoK, in full the Data Management Body of Knowledge, is the reference work from DAMA International in which every knowledge area is worked out. The wheel is the diagram that summarises the structure of that book. In practice people say "the DAMA wheel" when they mean the layout and "DMBoK" when they mean the content.

Why is data governance at the centre?

Because governance determines how the other ten areas are set up: who owns what, which definitions apply, which quality requirements hold and how you evidence them. Without that layer, data quality, metadata and security become ten separate projects. With it, they become parts of one whole.