We build data platforms in Microsoft Azure or Amazon Web Services

Sources

Connect to every possible source

Data Ingestion

Ingest your data periodically or in real time

Storage

Store and archive data in a data lake or data warehouse

Processing

Efficiently transform small and large datasets

Access

Access all data using SQL

Governance

Gather your data in a Data Catalog. Monitor your data quality and stability of your platform. Fine-grained access controls

Reporting and Visualization

Build interactive dashboards and gain insights from your data

Machine Learning

Optimize your processes by leveraging the power of AI

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.

Interested?

Data Engineering Use Case References

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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Data Analytics, Data Engineering, Data Strategy
Ibens Data Platform – Construction Industry

Setting up an Azure Data Platform (BIM360 integration included) to extract all scattered project information and make relevant data available through a user-friendly portal at Ibens.

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How can we help you?

Do you want to start leveraging value from your data by using Data Analytics techniques? We can support you in every step of the data-driven value chain.

Book a meeting

A free meeting with one of our experts to discuss best practices.

Consultancy

On-site support through consultancy and knowledge sharing for your teams during your Data Analytics projects.

Custom development

Agile development of data-driven prototypes, full-scale applications and scalable analytics platforms.

Data Academy

Training courses to educate your teams on the main principles and concepts of Data Analytics.