Aplicação de data science como ferramenta de apoio a tomada de decisão orientada por dados

Abstract

Today, a number of companies have invested more and more resources and efforts to become competitive, where often "becoming competitive" and "staying competitive" is not an easy task to be undertaken due to economic challenges and imposed requirements by the consumer market, by products and services with ever more quality, diversity, availability and low cost. Aiming to achieve this competitiveness, growth and survival of its companies, managers are seeking to optimize their management model, through tools and resources that provide increasingly accurate information, that support and assist in decision making, seeking assertiveness in your investments and find the best direction for the development of your strategies. As a response to this need, then came the Science of Data or Data Science, which seeks to study, analyze and understand large volumes of data, through statistics and technologies such as Data Werehouse, Big Data, Data Analytics, Machine Learn, Data Mining, programming languages and the knowledge of business rules. In parallel to the highly competitive scenario, there is a phenomenon of data ascension characterized by an exponential increase in data volume, providing an excellent opportunity to adopt the data-driven decision-making method in the the knowledge and mastery of certain mining technologies and data analysis, together with the knowledge of the business rules, will support the managers during the decision making process, making Data Science a great ally in the process of implementing this method. This paper aims to present the concepts of Data Science as well as the main technologies involved and their application with regard to the decision process driven by data.