CARTO > 实例探究 > Using Location Intelligence for Optimal Real Estate Decision-Making

Using Location Intelligence for Optimal Real Estate Decision-Making

CARTO Logo
公司规模
1,000+
地区
  • Africa
  • America
  • Europe
国家
  • Brazil
  • Greece
  • Mozambique
  • Portugal
  • Spain
产品
  • Valea
  • CARTO
技术栈
  • Big Data
  • Predictive Analytics
  • Location Intelligence
实施规模
  • Enterprise-wide Deployment
影响指标
  • Customer Satisfaction
  • Revenue Growth
技术
  • 分析与建模 - 大数据分析
  • 分析与建模 - 预测分析
适用功能
  • 商业运营
  • 销售与市场营销
用例
  • 质量预测分析
  • 供应链可见性(SCV)
服务
  • 软件设计与工程服务
  • 系统集成
关于客户
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.
挑战
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.
解决方案
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.
运营影响
  • Flexibility to rapidly build and deploy a customized solution for clients
  • Improved UX, increasing customer satisfaction
  • Technical support from CARTO, ensuring superior performance and maintenance
数量效益
  • The Gloval team was able to launch the application 7 months earlier than expected, bringing in new revenues faster than expected.

Case Study missing?

Start adding your own!

Register with your work email and create a new case study profile for your business.

Add New Record

相关案例.

联系我们

欢迎与我们交流!
* Required
* Required
* Required
* Invalid email address
提交此表单,即表示您同意 IoT ONE 可以与您联系并分享洞察和营销信息。
不,谢谢,我不想收到来自 IoT ONE 的任何营销电子邮件。
提交

感谢您的信息!
我们会很快与你取得联系。