Using Location Intelligence for Optimal Real Estate Decision-Making

Gloval's Data & Analytics team wanted to start using location analytics solutions to develop Valea, a web application that would allow its clients (professionals from real estate agencies and investment funds) to make spatially-informed decisions on residential property assets. They sought to provide its clients with a solution that would allow them to analyze and visualize large volumes of data on the Spanish real estate market. This included big data processing, need for faster insights, and going beyond traditional PDF formats. They needed to support business and sales strategies for their clients with asset closure data, available assets data, financial data on potential margins, and historic data on residential property assets. They also wanted to provide a faster and frictionless experience for clients, allowing them to understand the potential sale price of their property with an enriched market study, exhaustive & spatially-informed market analysis, supply and demand statistics, and socio-economic indicators to enrich existing data.

Gloval is a leading firm in comprehensive Real Estate valuation, engineering, consulting, and data analysis services. Born from the merger of several companies in 2017, it has a total of 70 years of combined experience, and over 5 million property valuations made. With over 1,000 professionals, Gloval provides services in over 7 countries, including Spain, Portugal, Greece, Brazil, Cabo Verde, Angola, and Mozambique. In 2019, Gloval Analytics was formed in order to meet the needs of the new digital economy, bringing Big Data and Predictive Analytics to a wide range of clients throughout their footprint.