DataSense is specialized in analyzing and integrating data in one centralized data platform. These end-to-end solutions give you the opportunity to collect all data with data warehouse automation, near real time (10sec delay).
The centralized data platform provides accurate and up to date information for reporting and dashboarding purposes and can serve as a basis for AI solutions as well.
We use a reference architecture to build future proof solutions, where any change or addition can be made when the business requirements adapt, or new systems are put in place.

The six pillars of DataSense are defined as followed
- Data Architecture
- Data Integration
- Data Engineering & AI
- Data Visualization
- Testing
- DataSense Academy

If you're interested in our services or to become a part of our team, please send us an email at info@datasense.be

AI/ML

Data Center

Enterprise Software

DataSense

Andrew Shea

Steven Boon

Arianna van de Maele

Quinten Gaethofs

Luc van de Maele

Nele Iven

The Data Engineering and Analysis team at DataSense is responsible for designing, building, and maintaining the centralized data platform that integrates data from various sources in near real-time. Their work focuses on automating data warehousing, ensuring data architecture is robust, and performing complex data analysis. They support the creation of accurate reports, dashboards, and AI solutions, enabling informed decision-making across the enterprise.

Data Engineering and Analysis

Data Engineering and Analysis

About

Team members