Case Study Developed for Matexi Group

Buurtbarometer

Location intelligence for smarter real estate decisions

A custom-built tool that scores and visualises the quality of life at any location in Belgium. Developed as a custom AI solution for Matexi, one of the largest property developers in the Benelux.

The Challenge

How do you objectively assess the quality of a location?

Matexi develops dozens of residential projects annually in Belgium and the Netherlands. When purchasing land and positioning new projects, environmental quality is a crucial criterion — but objectively measuring it has long been a challenge.

They needed a tool that could calculate an objective quality-of-life score for any address in Belgium, based on hard data instead of gut feeling.

Matexi Group

Matexi is one of the largest property developers in the Benelux with over 60 years of experience. They build houses, apartments and complete neighbourhoods — always with an eye for sustainability and quality of life.

The Solution

A data-driven quality-of-life score

DataWoods developed the Buurtbarometer: an interactive web application that allows Matexi employees to query a detailed quality-of-life score for any address in Belgium. The tool integrates data from dozens of sources and calculates scores based on diverse factors.

🏫

Education

Distance to schools, quality indicators, availability of different education levels.

🏥

Healthcare

Proximity to GPs, hospitals, pharmacies and specialists.

🚌

Mobility

Public transport, car accessibility, cycling infrastructure and parking options.

🛒

Amenities

Shops, restaurants, culture, sports and recreation in the vicinity.

🌳

Green & Nature

Parks, forests, water features and the overall green experience in the area.

🔒

Safety

Crime statistics, traffic safety and objective safety indicators.

Technical Implementation

Built with our core expertise

Data integration from 30+ sources

Data from government (Statbel, VDAB, police), open data portals, OpenStreetMap, NMBS/De Lijn and more — all normalised and geocoded.

Geospatial analysis

Score calculation based on distances, densities and accessibility via road network analysis. Each address gets a unique profile.

Machine learning scoring

Weighted scoring model that optimises the relative impact of each factor based on market data and user feedback.

Interactive map visualisation

User-friendly web interface with interactive maps, heatmaps and comparison tools. Designed so non-technical staff can use it daily.

30+

data sources

11M

addresses scored

6

score categories

<1s

response time

Technologies used

Java Elasticsearch PostgreSQL + PostGIS React Leaflet Python Scikit-learn REST API AWS

Results

Project Impact

Objectification of location decisions that were previously based on gut feeling

Significantly faster due diligence for land purchases

Better substantiation of investment files to the board of directors

Insight into the relative strength of locations compared to the market

Reusable data infrastructure that is also used for other analyses

Have a similar data challenge?

The Buurtbarometer illustrates how we transform complex data from diverse sources into a usable, intuitive product. We build these types of solutions custom for any sector.

info@datawoods.com