CARTO Case Studies Real Estate Market Analysis: Tinsa Digital Case Study
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Real Estate Market Analysis: Tinsa Digital Case Study

CARTO
Analytics & Modeling - Real Time Analytics
Platform as a Service (PaaS) - Data Management Platforms
Business Operation
Process Control & Optimization
Real-Time Location System (RTLS)
Cloud Planning, Design & Implementation Services
Software Design & Engineering Services
Tinsa Digital wanted to provide more powerful solutions that would allow their clients (Financial Institutions, Investment Funds and Real Estate agencies) to manage their portfolios in a more agile way - with more spatial insight. The solution needed to provide a series of indicators in relation to asset locations so that clients could see relevant segments using multiple layers of information in just a few clicks. Working with CARTO’s platform allowed Tinsa Digital to automate processes, such as the loading and visualization of information, generating a 'user-friendly' display, requiring no specialized training. This allowed these different divisions of their business to perform complex calculations, delivering results faster, as well as including different layers to complete Real Estate, financial, or geospatial analyses. This would allow them to create AOIs (Areas of Influence) correctly attributing values to different administrative regions, as well as optimizing their own geometries. The key challenges included: User management for large volumes of information, Flexibility and responsiveness when working alongside Tinsa Digital clients, Effective integration and automation of ETL processes.
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Tinsa Digital is a European proptech company, specializing in the use of Real Estate, economic, financial, and socio-demographic data. Focusing on the development of automatic models for asset valuation with Artificial Intelligence, they provide solutions to manage and visualize large volumes of assets and information relating to commercial and residential Real Estate. Tinsa Digital turned to CARTO seeking to develop a new application to differentiate their value proposition in the market, allowing them to bring large volumes of information in an intuitive way to business users and Real Estate analysts.
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Working with CARTO’s platform allowed Tinsa Digital to automate processes, such as the loading and visualization of information, generating a 'user-friendly' display, requiring no specialized training. This allowed these different divisions of their business to perform complex calculations, delivering results faster, as well as including different layers to complete Real Estate, financial, or geospatial analyses. This would allow them to create AOIs (Areas of Influence) correctly attributing values to different administrative regions, as well as optimizing their own geometries. Tinsa Digital wanted to ensure the best usability and greatest customization capability in the market. Working with CARTO's stack allowed them, on the one hand, to prototype solutions in an agile way using CARTO Builder’s intuitive UI and, on the other hand, to develop an ad-hoc product for consulting clients using different development libraries such as CARTO.js, CARTOvl, and Airship. Another prerequisite for the development of the application was security. With CARTO it was possible to integrate the solution on-premise, guaranteeing data security in Tinsa Digital’s Cloud, without having to depend on third parties.
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For Tinsa Digital, being able to build a Proof of Concept adapted to the needs of its clients within a few days, then co-creating a definitive solution allowed them to provide significantly increased value to their clients, better positioning their services as a digital consultancy.
Bringing CARTO’s technology into the platform development process allowed them to automate cartographic information loading, simplify the geospatial analysis, improve UX, automate ad hoc interactive maps for clients, and provide flexibility to rapidly build and deploy customized solutions for clients.
Technical support from CARTO was also a key operational result.
60% reduction in the application delivery time.
120 hours saved per month by automating the upload process.
2x faster data loading times.
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