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smart data strategies

 Finally, smart data strategies always start with analyzing internal data sets, before integrating them with public or external sources. It is not advantageous to store and process data just because of the data, since, with the amount of data generated daily, noise increases more quickly than the signal. Pareto's 80/20 rule applies: the 80% of the phenomenon could probably be explained by the 20% of property data (COREA, 2019). This study has the general objective of presenting the data acquisition aspect in data science. When performing the analysis of the relevant aspects for data management, it can be observed that there are several factors that can influence the analysis to obtain insights from these data. Usually the field technician work in the given site by the client, engaged in fixing and sustaining the network, hardware, software, and other telecom and IT-related set-ups. When analyzing the factors that should be considered when managing data in data science, it is also ...