Geomatic expand the management team with new CFO

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Geomatic have hired Peter Nordgaard as their new CFO, thereby further strengthening their management team. Peter Nordgaard has extensive experience as a CFO within reconstruction of large companies, working with companies within machine learning and data mining. Furthermore, Peter is an Associate Professor at several Danish and international universities and MBA academies within finance and operations management.


“Adding Peter to our team is an important expansion of our management team because of the level of knowledge and experience he’ll be able to bring to the table,” states Managing Director, Jeff Saul. “We now have a management team motivated to work hard and each member highly skilled with individual expertise. This I expect to positively effect not only the results for Geomatic but also for our clients,” he elaborates.


That motivation and engagement is shared by Peter Nordgaard:

“Geomatic is a very interesting company working with the leading B2C companies in the Nordics, delivering business critical data and analysis. I’m looking forward to be a part of that,”

Peter Nordgaard, CFO


Peter Nordgaard took office September 2018 after the previous Head of Finance Jonathan Pentz-Møller, who now moves to focus on his independent accounting services, based in London.



Numerous board positions including Radio24syv, Bladkompagniet, Boliga, JobZonen, JydskeVestkysten 

  • 2016 – 2018: CFO, Coinify
  • 2016 – 2016: CFO, Playground Distribution
  • 2007 – 2015: CFO, Berlingske Media

Go to Peter Nordgaard's LinkedIn profile



Geomatic is a data and analytics house specialising in data science and master data management solutions; that many leading Nordic companies co-operate with when utilising their own and external publicly available data within their business operations. By working in co-operation, we support them with greater levels of confidence, quicker returns-on-value, and better decisioning capabilities


We consult on the end-to-end process from data collection, validation, structuring and enrichment; to the analysis, segmentation, and the optimal usage of data within your operations


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