Born from the convergence between the real estate, digital media and technology sectors, Datazap offers solutions for several market sectors:
Property pricing solutions based on AVM (Automated Valuation Models) - in which Datazap is a pioneer - can guarantee a fast and secure value estimation process, covering from a specific enterprise to have its production financed to hundreds of thousands of properties of a portfolio of real estate financing guarantees. Updating the value of properties to market is essential for the management of these assets and becomes part of the best management practices of the main financial institutions.
During the business cycle of a developer, several questions need to be answered correctly. What are the trends of the consumer of real estate? Where should I buy land? What typologies to build in my current land bank to maximize the generation of value? What will be the speed of absorption of a given project? What amenities and characteristics of each prouduto are most valued? Datazap helps the real estate industry to answer these questions.
The various instances of the government sector suffer from the scarcity of public data that accurately portrays the urban and real estate situation in Brazil. The ZAP Group fulfills the important role of aggregating large volumes of data related to this sector, and Datazap applies on these bases the most advanced techniques and analytical tools, generating products and services that help decision making in the public sphere. Datazap offers from special studies, focusing on specific regions and sectors, to the complete survey of extensive urban networks for the purpose of real estate pricing or revision of the municipal generic plan.
Commerce and service networks need to make precise choices for expansion, unit management, resource allocation, product development, communication, etc. The spatial component of these choices is closely related to the urban characteristics of each region, especially the profile of consumers, ease of access, security and urban infrastructure, proximity to points of interest, among others. Space economics and applied data science on one of the largest real estate and urban databases in Brazil allow networks of various sizes to make better decisions.