Browsing by Author "Augusto, Maria Fernanda"
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- Penetration Testing on Virtual EnvironmentsPublication . Guarda, Teresa; Orozco, Walter; Augusto, Maria Fernanda; Morillo, Giovanna; Navarrete, Silvia Arévalo; Mota Pinto, Filipe
- Pervasive business intelligence as a competitive advantagePublication . Guarda, Teresa; Mota Pinto, Filipe; Cordova, Juan Pablo; Mato, Fernando; Quina, Geovanni Ninahualpa; Augusto, Maria FernandaToday the strategic significance of information is fundamental to any organization. With the intensification of competition between companies in open markets and often saturated, companies must learn to know themselves and to the market through the collection and analysis of quality information. The strategic information is seen as a key resource for success in the business, which is provided by Business Intelligence systems. A successful business strategy requires an awareness of the surrounding (internal and external) environment of organizations, including customers, competitors, industry structure and competitive forces. Managing the future means not only is able to anticipate what will happen outside the organization, but also be able to represent the events through their own actions timely. To make it possible, Pervasive Business Intelligence arises as a natural evolution of business intelligence applications in organizations, allowing to companies achieve and maintain a sustainable competitive advantage.
- Pervasive Business Intelligence: A Key Success Factor for BusinessPublication . Guarda, Teresa; León, Marcelo; Augusto, Maria Fernanda; Mota Pinto, Filipe; Barrionuevo, Oscar; Villao, DatzaniaToday the strategic significance of information is fundamental to any organization. With the intensification of competition between companies in open markets and often saturated, companies must learn to know themselves and to the market through the collection and analysis of quality information. The strategic information is seen as a key resource for success in the business, which is provided by Business Intelligence systems. A successful business strategy requires an awareness of the surrounding (internal and external) environment of organizations, including customers, competitors, industry structure and competitive forces. Managing the future means not only is able to anticipate what will happen outside the organization, but also be able to represent the events through their own actions timely. To make it possible, Pervasive Business Intelligence arises as a natural evolution of business intelligence applications in organizations, allowing to companies achieve and maintain a sustainable competitive advantage, helping managers react proactively in a timely manner to threats and opportunities.
- Senior Potential Analysis: A Challenge that Contributes to Social SustainabilityPublication . Guarda, Teresa; Mota Pinto, Filipe; Cordova, Juan Pablo; Augusto, Maria Fernanda; Mato, Fernando; Quiña, Geovanni NinahualpaPopulation aging is one of the greatest triumphs of humanity, also is both a major challenge. The number of older workers in the European Union (EU) will increase over the next decades, the active population of the EU points to a growth of approximately 16.2% of the age group of 55-64 years between 2010 and 2030, being contrary to tendency of other age groups, with a reduction of 4% to 5%. This demographic change is due to the decline in fertility rates and increased life expectancy. The labor force in Europe will reach age levels never before registered in that older workers represent more than 30% of the active population. In this paper, based on the questionnaire results, brought out by "harnessing the potential senior", which was applied in enterprises in Portugal. It is intended to address some of the concerns related to the aging population and the use of senior potential, facing this problem as a challenge that contributes to social sustainability. Thus, the senior potential should be seen as a very important contribution. In this paper, we intend extract the survey data from data bases, for knowledge discovery and analysis using the data mining tool Weka.