data governance model assessment score

Due to popular demand, I’m continuing the series of covering existing data governance maturity models by adding an overview of Open Universiteit Nederland Data Governance Maturity Model. For a recap of those covered so far, you can find each one here:

Open Universiteit Nederland Maturity Model

Overview: Published in 2015 by Jan Merkus as part of research for the Open Universiteit Nederland.  It is based on the following maturity levels of the  Capability Maturity Model (CMM), but applied to the domain of data governance.

maturity model Nederland

  • Level 1 – No process: No process at all or no formally organized process, ad-hoc activities only
  • Level 2 – Beginning process: There are attempts for a process, but it’s not consistently documented and it’s mostly reactive
  • Level 3 – Established process: A formalized process is in place used across the organization, but it is not highly detailed or all encompassing
  • Level 4 – Managed process: A formalized process is well established with a clear ownership, which is regularly measured, monitored, controlled, audited and analysed
  • Level 5 – Optimizing process: The overall process is deeply integrated within other business and technical processes as well as within the culture of the organization, it’s mostly automated, continually improving and adapting and constantly reviewed with data stakeholders

The model comes with a self-assessment tool and score for the following dimensions, each with its own set of qualifications, against the 5 maturity levels outlined above:

  • Corporate governance
  • Risk management & compliance
  • People
  • Processes
  • Technology
  • Data assets
  • Business alignment
  • Data governance organization
  • Data management
Assessment Score Example

Take away: This might be the first or one of the first models validated in practice. At the moment, research on it is still underway, but scientific articles about it are to be published soon.

More information:


Checkout this online course on Data Governance Maturity Model(s) to learn all there is to know about them, the best practices and pitfalls on selecting and using them, and so much more.

Next I’ll go over the Kalido Data Governance Maturity Model.

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About the author 

George Firican

George Firican is the Director of Data Governance and Business Intelligence at the University of British Columbia, which is ranked among the top 20 public universities in the world. His passion for data led him towards award-winning program implementations in the data governance, data quality, and business intelligence fields. Due to his desire for continuous improvement and knowledge sharing, he founded LightsOnData, a website which offers free templates, definitions, best practices, articles and other useful resources to help with data governance and data management questions and challenges. He also has over twelve years of project management and business/technical analysis experience in the higher education, fundraising, software and web development, and e-commerce industries.

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