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The application of Big Data analytics in all fields of research is a critical driver for the competitiveness of all countries in the modern world. Currently, governments and industry generate large amounts of data driven by record keeping, compliance, regulations, data privacy, and dynamic requirements, and thus there is a need to create better mechanisms to analyse data, and hence support organizational development, as well as providing aid to policymakers' decision-making processes. In this context, there are emerging disruptive opportunities because of Big dаta: new business models, and vertical industry segments will emerge through shared relationships with all the stakeholders, and Big Data analytics is a major asset to support these dynamic relationships. This book was developed with the objective of analysing some of those challenges while at the same time providing a perspective of the potential of Big Data analytics, and the importance that analytics have for managers and for policymakers, to help define new strategies and new public policies, respectively.
The book is focused on different sectors of activity (i.e. the Health sector, Public Administration, the Education sector, among others), and on different economic dimensions (i.e. Entrepreneurship, and Innovation) and links Big Data analytics to different fields of research, such as Artificial Intelligence (AI) and other emergent technologies which are challenging organisations, governments, and societies, with the need to face the new imperative of being prepared for the very uncertain and tremendously complex future - in which Big Data analytics will play a very decisive and active role.
The use of Big Data analytics can be a determining factor in the creation of a complementary advantage. A company presents a competitive advantage when implementing a value creation strategy. The data explosion creates a major challenge for managers: how to exploit data to create a competitive advantage? Big Data analytics can be used to identify a complementary advantage. The speed and increasing volume of data do not allow organizations to make real-time decisions using the traditional analysis process, requiring a new approach with analytical solutions and data processing. By mining and predicting data to uncover patterns and relationships, predictive analysis can produce the insights. Thus, it will be necessary to consider how to automate and optimize the implementation of all actions. It becomes inevitable to understand the process of using Big Data analytics. It is intended to analyze, research, clarifying the main contributions and implications of Big Data analytics on competitive advantage, and also contribute to the identification of topics for future research