Transforming Housing Market Data into Public Insight

Project Overview

LISER (Luxembourg Institute of Socio-Economic Research) conducts in-depth analyses of Luxembourg’s housing market— essential data for both the government and the public to understand evolving consumer needs, housing prices, and rental trends. In collaboration with SIP (Service Information et Presse), the goal was to repurpose this detailed quarterly data into interactive dashboards for public use, hosted on Luxembourg’s national Open Data Portal.

Project Brief

The original housing market dataset, while rich in detail, was primarily used by specialized agencies such as STATEC. To make this information accessible and insightful for the broader public, LISER and SIP aimed to transform it into an engaging visual format. Key challenges included:

  • Designing intuitive visualizations that communicate complex housing data clearly.

  • Accurately interpreting raw data and ensuring privacy while maintaining granularity (e.g., postcode-level insights).

  • Establishing a sustainable process for quarterly updates to keep the insights timely and relevant.

Our Role

As the data analytics lead, our role was to bridge the gap between data producers and end users. This involved:

  • Identifying meaningful insights for the general public.

  • Defining the underlying data structures required to support those insights.

  • Translating technical datasets into accessible, well-designed visual narratives.

Methods

We used Alteryx to connect to the raw CSV data and create an automated, repeatable workflow. This process generated a clean, analysis-ready dataset tailored for visualization.
Tableau Desktop was then used to build the dashboard - optimized for both desktop and mobile use. We published the dashboard to Tableau Public - which allows to share the dashboard to any public website at no additional cost — and embedded the dashboard on the Luxembourg Open Data Portal, managed by SIP. Close collaboration with the client ensured rigorous data validation, maintaining trust and accuracy throughout the project.

The Outcome

The resulting dashboard, now live on the Open Data Portal, offers clear and compelling housing insights accessible to the general public. Key achievements include:

  • Introduction of a housing index KPI, providing a more accurate view of price trends by excluding inflation effects.

  • A fully automated quarterly update process using Alteryx and Tableau.

  • Improved data literacy through user-friendly visualizations.

  • Increased visibility and adoption via social media sharing, supporting broader engagement with open data initiatives. See post on LinkedIn