Data governance

“How much can I trust the rapports and analysis upon which I base my decisions?”
“I am a data owner, but where exactly do my responsibilities end?”
“How do I prevent (frustration caused by) miscommunication as a result of deviations in data and definitions?”

Making data manageable

The above-mentioned questions are likely to be an issue within your organization. At the moment, a transition toward data-driven work processes is taking place. But using data as a main driving force for your organization, requires close control of this data. This affects systems, processes, privacy and authorization procedures and, off course, people as well.

Checklist AVG / GDPR: how to put your newsletter in order!

What exactly is data governance?

Simply stated data governance are the measures you take to be in control of your data and information flow. Because once you’re in control, you will be able to make improvements on existing information. Therefore, data governance is not only about implementing a tool, defining processes (more) clearly or editing data. The core of good governance is to define responsibilities clearly and gain insight into the data- and information flows within the organization.

Checklist AVG / GDPR: how to put your newsletter in order!

How do we approach data governance?

As far as we are concerned, you’re ‘in control’ once you know all there is to know about your data and when people know their responsibilities and tasks. Therefore, our approach involves multiple steps:

  • Installing a business glossary, where you can find which information is based on which data, as well as clear definitions for frequently used terms within the organization.
  • Building and (together with the organization) filling a data dictionary which describes which data is stored in which systems, as well as the quality standards, retention period and ‘golden source’ for each single element of information. With regard to data management, mapping of the data and information across individual systems can be recorded in the dictionary as well.
  • Installing a data management organization (in responsibilities and consultation structures), to make clear who is responsible for which part and to give a description of specific jobs for everyone involved. This precludes ownership of data of becoming something that is done ‘on the side’.
Example AVG / GDPR implementation at IKEA

With all of these steps, we think it is of the utmost importance to develop this system in cooperation with people who work within the organization. This is in part because they know in detail how the company works, but also to gain the support from all parties involved. Because even though data governance isn’t really that sexy, it’s an essential prerequisite to take the next step towards improvements with regard to data driven working!


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Do you need experienced privacy experts?

Do you want to know more about this subject? Please contact Klaas Tjepkema using the details below

Klaas Tjepkema, Senior Consultant

+31 6 46 89 20 71

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