CASE STUDY
Identifying Future Project Sites with Location Intelligence
Lujatalo, part of Luja Corporation, is a Finnish contractor specializing in residential and office building development as well as property development projects. Operating across multiple regions and customer segments, the company continuously evaluates new opportunities for urban development and investment.
To support strategic decision-making in site selection and urban development, Lujatalo uses CHAOS’ location intelligence platform, which combines location data, demographic insights, and urban forecasts into a single analysis environment.
Customer:
Lujatalo
Use Case:
Real Estate Development / Construction
Industry:
Site selection and construction
Lujatalo uses CHAOS to deepen its understanding of operating areas and identify high-potential project sites with greater confidence. By combining location data with internal expertise, the team can track current conditions, anticipate future development, and make more informed decisions across projects nationwide. CHAOS also acts as a shared platform for storing and collaborating on location intelligence, turning scattered information into a structured, organization-wide advantage.
VERDICT
Better understanding leads to better project sites
THE CHALLENGE
Identifying promising project locations in a changing urban landscape
For property developers, identifying suitable project sites is critical to long-term success. Development decisions must consider multiple factors including regional growth, demographic changes, infrastructure development, and market demand.
Lujatalo’s teams needed a more efficient way to analyze operating areas across Finland and evaluate potential locations for future projects. Without centralized tools and reliable location intelligence, gathering and comparing relevant information across different regions could be time-consuming and fragmented.
Additionally, development teams required a shared platform where insights and location-related information could be stored and accessed collaboratively across the organization.
The cooperation works well and we have a feeling that our wishes are heard. The operation is transparent and we can bring the customer's perspective on using the solution."
Jukka Lindholm
Real Estate Development Manager
To strengthen its information-based decision-making, Lujatalo implemented the CHAOS platform for nationwide use across its development teams.
CHAOS brings together multiple data sources—including location data, demographic insights, and urban development forecasts—into a single platform that supports location analysis and strategic planning.
By using CHAOS, Lujatalo can explore operating areas in greater depth, evaluate emerging urban trends, and identify potential sites for future projects. The platform also acts as a centralized repository for location-related information, allowing teams to store insights and collaborate more efficiently across the organization.
In addition to using the platform for analysis, Lujatalo has actively contributed to the development of the solution. Regular collaboration between Lujatalo and CHAOS teams helps refine the platform and ensure it meets real-world user needs.
THE SOLUTION
Integrating CHAOS into development workflows
THE RESULT
Strong market understanding and faster site identification
With CHAOS integrated into its development workflows, Lujatalo has improved its ability to analyze operating areas and identify promising development opportunities.
The platform enables Lujatalo to:
Gain deeper insights into the current and future development of operating areas
Identify potential project sites more efficiently
Store and organize location-related information in one platform
Support collaboration across development teams
Combine internal expertise with external data sources for stronger analysis
By combining its own expertise with CHAOS’ integrated datasets, Lujatalo can make more informed decisions about where to develop future projects—strengthening its ability to identify opportunities in evolving urban markets.
We use data to deepen our understanding of operating areas and find promising locations.
