Big Data, a tool to avoid failures and support in decisions of the hotel sector in Quito_Ecuador

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Carlos Fernando Padilla Guevara

Abstract

Based on a study based on descriptive-correlational methodologies and observation, it was concluded that the hotels in the city of Quito do not consider Big Data as a support tool for making decisions. In the hotel sector of the city, the use of this new technology is not yet strongly incurred, due to the use of more known and traditional tools. There is confusion between what everyday tools represent as databases and the real potential of having a Big Data. Hotels do not perceive it as something that is already really working locally; they believe that Big Data contains a great deal of information but not quality of it. However, they would like more information to help them make the best decisions. Having key information, from various sources, that allows to know customers and their behavior, can become the plus that the industry needs to attract new consumers. In Ecuador there are productive sectors that are already using this technology, however, there is a lack of trained personnel, high investment that implies its implementation and lack of structure of the information contained.

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How to Cite
Padilla Guevara, C. F. (2019). Big Data, a tool to avoid failures and support in decisions of the hotel sector in Quito_Ecuador. INNOVA Reseach Journal, 4(3.2), 80–88. https://doi.org/10.33890/innova.v4.n3.2.2019.1062
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References

Acerca de la aplicación de MapReduce + Hadoop en el tratamiento de Big Data. (s.f.).

Calle, J. (2017). Revolución Big Data en el turismo. Análisis de las nuevas fuentes de datos para la creación de conocimiento en los Destinos Patrimonio de la Humanidad de España.

Comercio, E. (19 de mayo de 2017). El big data le haxe un zoom al consumidor. El Comercio.

Dominguez A., Y. A. (2014). Acerca de la aplicación de MapReduce + Hadoop en el tratamiento de Big Data. La Habana: Revista Cubana de Ciencias Informáticas.

Española, R. A. (2017). Diccionario de la lengua española.

Evans, P. (2014). De la deconstrucción a los Big Data. BBVA.

Forum, 2. W. (2018). El Foro Económico Mundial. Obtenido de El Big Data y los consumidores | Foro Económico Mundial: https://es.weforum.org/agenda/2017/12/el-big-data-y-los-consumidores

Galimany. (2014). La creación de valor en las empresas a través del Big Data. 33.

Gartner. (2016). IT Glossary. Obtenido de https://www.gartner.com/it-glossary/big-data.

INEC. (2018). Empresas de Ecuador: Quito lidera en cantidad. Obtenido de elemprendedor.ec: http://www.elemprendedor.ec/quito-lider-empresas-de-ecuador/

Maldonado J., S. S. (2015). El Big Data como ventaja competitiva. Querétaro, México: Universidad Autónoma de Querétaro.

Maldonado J., S. S. (2015). El Big Data como ventaja competitiva. Querétaro, México: Universidad Autónoma de Querétaro.

Martinez, J. M. (2015). "Big Data"; aplicación y utilidad para el sistema sanitario. Farmacia Hospitalaria, ISSN: 2171-8695., 1.

Mckinsey Global, I. (2016). The Age of Analytics: Competing in a Data-Driven World.

Mintur. (2016). Reglamento de Alojamiento Turístico. Quito: Ministerio de Turismo.

Teinteresa. (2018). Qué tipo de comprador eres? Obtenido de teinteresa.es: http://www.teinteresa.es/espana/tipo-comprador_0_1049295310.html

Valls, J. F. (2017). Big Data, Atrapando al consumidor. Barcelona, España: Profit.