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Pineda Lezama, Omar Bonerge (3)
amelec, viloria (2)Gaitán, Mercedes (2)MALDONADO PEREZ, DOYREG (2)Varela, Noel (2)Arrieta Matos, Fernanda (1)CABAS VASQUEZ, LUIS CARLOS (1)Flórez Guzman, Yasmin (1)Hernández Palma, Hugo (1)Silva, Jesús (1)... View MoreSubject
Big Data (3)
Artificial Neural Networks (1)Business Intelligence (BI) (1)Data stream (1)Demand (1)Demanda (1)Direct marketing (1)ERP systems (1)Food industry (1)Forecast (1)... View MoreDate Issued2020 (2)2019 (1)Has File(s)Yes (3)

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Applying a business intelligence system in a big data context: production companies 

Silva, Jesús; Gaitán, Mercedes; Varela, Noel; MALDONADO PEREZ, DOYREG; Pineda Lezama, Omar Bonerge (Universidad de la Costa, 2020-01-07)
Industry 4.0 promotes automation through computer systems of the manufacturing industry and its objective is the Smart Factory. Its development is considered a key factor in the strategic positioning not only of companies, ...
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Demand forecasting method using artificial neural networks 

amelec, viloria; Arrieta Matos, Fernanda; Gaitán, Mercedes; Hernández Palma, Hugo; Flórez Guzman, Yasmin; CABAS VASQUEZ, LUIS CARLOS; Vargas Mercado, Carlos; Pineda Lezama, Omar Bonerge (Universidad de la Costa, 2019)
Based on a forecast, the decision maker can determine the capacity required to meet a certain forecast demand, as well as carry out in advance the balance of capacities in order to avoid underusing or bottlenecks. This ...
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Data processing for direct marketing through Big Data 

amelec, viloria; Varela, Noel; MALDONADO PEREZ, DOYREG; Pineda Lezama, Omar Bonerge (Universidad de la Costa, 2020-01-07)
Traditional marketing performs promotion through various channels such as news in newspapers, radio, etc., but those promotions are aimed at all people, whether or not interested in the product or service being promoted. ...

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