Using Location Intelligence for Optimal Real Estate Decision-Making
Customer Company Size
Large Corporate
Region
- Europe
- Africa
- America
Country
- Spain
- Brazil
- Greece
- Mozambique
- Portugal
Product
- Valea
- CARTO
Tech Stack
- Big Data
- Predictive Analytics
- Location Intelligence
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Revenue Growth
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Big Data Analytics
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Supply Chain Visibility
- Predictive Quality Analytics
Services
- Software Design & Engineering Services
- System Integration
About The Customer
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.
The Challenge
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.
The Solution
Gloval developed Valea, a web application that uses a search engine that filters by address or cadastral value, providing a more exhaustive market study of each census section in Spain, using different KPIs that help obtain a realistic view of market behavior, whilst simultaneously incorporating the possibility to get a rapid valuation online. The application uses CARTO for deck.gl, users can see the average unit price, a 12-month forecast, the average unit purchase price, or the bubble indicator of each census section modelled in six different scenarios (based on market turbulence). The application is mainly designed for Real Estate professionals, it also allows for the creation of PDF reports in order to support sales strategy and give a more detailed view of property performance to the seller.
Operational Impact
Quantitative Benefit
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