Abstract:
In recent decades, technological innovation has contributed exponentially to facilitating the production, management, enhancement, dissemination, and reuse of everything connected to the knowledge available to a company. The constant implementation of infrastructures, with the aim of creating an increasingly interconnected environment to facilitate communication between employees and the sharing of information. The continuous development of tools that are increasingly receptive and attentive to an adequate consideration of what is produced, treated, and used by organizations in terms of knowledge, the use of increasingly targeted and effective algorithms in the selection of information, as well as in the rationalization of the related processes of storage and recovery of data, are all elements that allow organizations to acquire a constant improvement in the management of this wealth.
The growing of varied IT resources, with high information and potential, easy and fast to find, has accelerated this process and led companies to seek value in the information available outside of their borders, in a process of integration of data available inside with these new external data. It is an irreversible process and in constant implementation and growth, which has now become vital for the company's own survival, with the aim of facing competition and maintaining high levels of competitiveness. This has necessarily led companies to review the role played by Business Intelligence, enriching it with new tools and procedures that permits the creation of additional professional figures and maximize their performance.
The aim of this thesis is to provide an overview of business intelligence, data analytics and big data, their origin, and the relevance. To be more specific, we will analyze a supporting tool for the BI called Looker as it is a recent tool developed by Google and how this tool can have an impact from a business perspective.