Infofarm is your partner for transforming your company into a data-driven organization. We match strategy thinking with technical skills to help you in building sustainable and future-proof Data Platforms, while delivering value from your data with Artificial Intelligence techniques.

We plow your data, grow insights and harvest business value!


Data Strategy

We bring people, process and technology together and align them with the overall corporate strategy and objectives.

Data Engineering

We build data platforms on Microsoft Azure and Amazon Web Services.

Data Analytics

We build reporting, advanced analytics and AI solutions to get insights from your data and help you in making better decisions.

One Day Data Platform

Set up a data platform in Microsoft Azure or Amazon Web Services in only one day. Ready for integration with your data sources. BI reporting and machine learning components included. Set up according to well architected principles.


We build end-to-end data-driven solutions

At Infofarm, we bridge the gap between the Academical world of Computer Science and the IT-technical world of software engineering. It is our mission to help organizations make smarter decisions or improve their operational activities by building data-driven solutions with AI technologies.

Data Analytics, Data Engineering
Track & Trace Reporting – Food Sector

By bringing third party data and operational data together in a cloud-based data platform, we are able to strengthen the business processes at Flanders Milk. Through a Power BI report, Flanders Milk not only has a clear overview of open orders, but also the necessary insights to respond proactively to possible problems

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Data Analytics, Data Engineering
Immoweb – Real Estate

Our objective was to migrate immoweb’s on-premise data pipelines to the robust infrastructure of AWS. We carefully orchestrated the migration process, ensuring a seamless transition and optimal utilization of cloud resources.

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Data Engineering, Data Strategy
Materialise – Additive manufacturing

Advising Materialise for architecture, design and implementation of a new Data Warehouse based in AWS cloud, using modern concepts like Lake House, aiming at putting in place a new foundation of enabling the IT department moving forward with its data journey.

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Get inspired by our blogs

AWS User and Access Management

In this Blogpost I will give a short introduction on User and Access management in AWS. More specifically I will focus on two AWS services which are built to fit this purpose: Identity and Access Management (IAM) and Lake Formation (LF).

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Machine learning & analytics on AWS – Sagemaker

In this blog, Jasper will tell you everything about AWS Sagemaker, explore the different features of this service together with pros & cons and give you a step-by-step approach for building your own machine learning algorithm on AWS.

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Azure user and access management

Today, I’ll show you how we can do user and access management inside Azure. How do you secure a specific column? How do you deny people access to specific files? All answers below. Enjoy reading!

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