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We know your industry and understand your business
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Go for better customer experiences and greater profitability
Find your profitable customers and attract more of them
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Let us optimise your neighbourhood insights with data and analysis
Get more and better customers
Get more loyal and profitable customers
Optimise the customer journey and your data resources
Get in touch
+45 7020 5046
info@geomatic.dk
What we do
We deliver insights to drive your business forward
Cases
Here are some of our customer projects. Call us if you want to be next
High quality leads improved the TM conversion rate
A smooth data integration brought their neighbourhood universe to life
Well-segmented DM resulted in a 14 % response rate
Improved efficiency and increased data quality with Retrify
Increased donor engagement with optimised segmentation
Thorough customer insights improve the bottom-line
Library
Insights on data and segmentation. Educational and shareable
We blog on data, segmentation, and data ethics
See our publications on data, segmentation, data ethics, and legislation
About us
We are a data and analytics house. Learn more about us here
Learn more about our values and CSR
See our teams and find an employee in the overview
We collect the industry's biggest talents - see our current vacancies
Find pictures of our management, press contact, logos for download etc.
The main challenge for any organisation that wants to start working with ML & AI, is to understand where to start. Maybe you already have a team of data scientists to build models or you are investing on this journey; but most of their time is & will be spent on the data preparation stages – wouldn’t it be great to fast track them direct to model building? In any data science team, it is the model building and model deployment that is considered the value-adding part. Preparing for this is a key necessity; but it’s also a very time- and resource consuming activity.
Geomatic, Data Played Better,
In recent years, we have been overflooded with artificial intelligence, and quite regularly we are using the concept as a synonym for machine learning. Even though Al is hot, there is a long way to fall in love with the concept to be able to implement it in the business and measure it on the bottom line. But this is about to change within the Business AI
How to start your AI journey and how data and analytics should play in your company; what business questions do you need data to answer?
We publish publications on data, segmentation and how data-driven decisons improve business
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