Abstract
The evolution of information systems and the growth in the use of the Internet and social networks has caused an explosion in the amount of available data relevant to the activities of the companies. Therefore, the treatment of these available data is vital to support operational, tactical and strategic decisions. This paper aims to present the concept of big data and the main technologies that support the analysis of large data volumes. The potential of big data is explored considering nine sectors of activity, such as financial, retail, healthcare, transports, agriculture, energy, manufacturing, public, and media and entertainment. In addition, the main current opportunities, vulnerabilities and privacy challenges of big data are discussed. It was possible to conclude that despite the potential for using the big data to grow in the previously identified areas, there are still some challenges that need to be considered and mitigated, namely the privacy of information, the existence of qualified human resources to work with Big Data and the promotion of a data-driven organizational culture.
Highlights
Information is increasingly important and a successful differential, as the whirlwind of external events forces organizations to face new situations
The differential of companies and professionals is directly related to the value they give to information, knowledge and how they use it in meeting the demands of the market and in the search for innovative solutions
The compilation and sharing of detailed information is only possible through the use of information and communication technologies (ICT), and this data can come from suppliers, consumers, partners and competitors
Summary
Information is increasingly important and a successful differential, as the whirlwind of external events forces organizations to face new situations. It has the power to detect new opportunities, sign of the threats and reduces uncertainties during the decision-making process and, increases its quality. In this sense, the differential of companies and professionals is directly related to the value they give to information, knowledge and how they use it in meeting the demands of the market and in the search for innovative solutions. The compilation and sharing of detailed information is only possible through the use of information and communication technologies (ICT), and this data can come from suppliers, consumers, partners and competitors To this large volume of data coming from multiple heterogeneous sources we call Big Data, which is the frontier for business innovation and productivity. Analysis between the concept of BI and big data analytics
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