DISCOVER THE POWER OF DATA SCIENCE AND ARTIFICIAL INTELLIGENCE TO DRIVE DEVELOPMENT!
The Atlas of Opportunities is an open-source project materialized in a free decision support website that aims to help entrepreneurs, companies, governments and other publics interested in identifying business opportunities. The project combines multiple data sources, processed with spatial data science and Artificial Intelligence algorithms. The Atlas translates the most advanced scientific theories and methods in the areas of management, statistics and computer science into a simple, intuitive and interactive website aimed at generating jobs, income and fostering sustainable economic development.
DISCOVER THE POWER OF DATA SCIENCE AND ARTIFICIAL INTELLIGENCE TO DRIVE DEVELOPMENT!
The Atlas of Opportunities is an open-source project materialized in a free decision support website that aims to help entrepreneurs, companies, governments and other publics interested in identifying business opportunities. The project combines multiple data sources, processed with spatial data science and Artificial Intelligence algorithms. The Atlas translates the most advanced scientific theories and methods in the areas of management, statistics and computer science into a simple, intuitive and interactive website aimed at generating jobs, income and fostering sustainable economic development.
COLLABORATION NETWORK
REDE DE COLABORAÇÃO
DATA PROFILE
The Atlas of Opportunities integrates a wide range of data from different research sources, such as the IBGE, REGIC, and the Central Bank of Brazil. We analyze, process, and deliver quality information at various geographic levels, covering states, cities, and census blocks data. But we don’t stop there. To further facilitate your journey of discovery, we use the Urban Systems Smart Cities classification Citie as a basis. This classification allows us to organize the various variables available on our platform, providing an improved visualization and facilitating the query for data of your specific interest.
PERFIL DE DADOS
O Atlas de Oportunidades integra uma vasta gama de dados provenientes de diversas fontes de pesquisa, como o IBGE, o REGIC, o Banco Central do Brasil, dentre outras. Analisamos, processamos e entregamos informações de qualidade em diferentes níveis geográficos, abrangendo estados, cidades e até mesmo dados censitários. Mas não paramos por aí. Para facilitar ainda mais a sua jornada de descoberta, utilizamos como base a classificação de Smart Cities do Urban Systems (2018). Essa classificação nos permite organizar as diversas variáveis disponíveis em nossa plataforma, proporcionando uma visualização aprimorada e facilitando a consulta por dados de seu interesse específico.
PERFIL DE DADOS
O Atlas de Oportunidades integra uma vasta gama de dados provenientes de diversas fontes de pesquisa, como o IBGE, o REGIC, o Banco Central do Brasil, dentre outras. Analisamos, processamos e entregamos informações de qualidade em diferentes níveis geográficos, abrangendo estados, cidades e até mesmo dados censitários. Mas não paramos por aí. Para facilitar ainda mais a sua jornada de descoberta, utilizamos como base a classificação de Smart Cities do Urban Systems (2018). Essa classificação nos permite organizar as diversas variáveis disponíveis em nossa plataforma, proporcionando uma visualização aprimorada e facilitando a consulta por dados de seu interesse específico.
COLLABORATION NETWORK
COLLABORATION NETWORK
DATA PROFILE
The Atlas of Opportunities integrates a wide range of data from different research sources, such as the IBGE, REGIC, and the Central Bank of Brazil. We analyze, process, and deliver quality information at various geographic levels, covering states, cities, and census blocks data. But we don’t stop there. To further facilitate your journey of discovery, we use the Urban Systems Smart Cities classification Citie as a basis. This classification allows us to organize the various variables available on our platform, providing an improved visualization and facilitating the query for data of your specific interest.
PUBLICATIONS
Forecasting system’s accuracy: A framework for the comparison of different structures
Disaggregating Sales Prediction: A Gravitational Approach, Expert Systems with Applications, Vol. 217, p. 119565
Satellite imagery and machine learning for channel member selection, International Journal of Retail & Distribution Management, Vol. ahead-of-print No. ahead-of-print
- CONTACT
- Federal University of Rio Grande do Sul (UFRGS) School of Management, Rua Washington Luis, 855 Porto Alegre/RS/Brazil, 90010-460
- www.ufrgs.br/gpmc
- gpmc-ea@ufrgs.br
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