This master's thesis explores the specific benefits that a company's stakeholders, such as
customers, investors, and employees, can derive from open data-driven outputs in the
context of commercial real estate consulting. To address this research question, a custom
data gathering tool is developed to generate valuable data and insights from an open data
API, enabling data analysis and the integration of new technologies to facilitate corporate
operations.
The thesis research is conducted in collaboration with JLL (Jones Lang Lasalle Finland), a
world-leading international commercial real estate advisory firm. Existing operational
challenges, including the manual collection of data from numerous sources, created a
demand for the new software. The development of this new tool not only streamlines
previous processes but also strengthens the company's data foothold in the modern digital
economy.
In addition to software development, a literature review is conducted to investigate how
open data has been used for the benefit of businesses in the past. After the software's
development, several end tools for business use are built using the data collected by the
software. These end tools aim to simplify day-to-day business processes, generate market
insights and reports, and save employees' time.
The findings suggest that open data-driven outputs have the potential to significantly
benefit the company's stakeholders. This includes acquiring a greater understanding of the
market, optimizing business processes, and improving investor materials with new market
insights. Furthermore, the completed tools and findings demonstrate that leveraging open
data in a commercial real estate environment is a viable way to enhance the company's
competitive advantage.