Ejup Rustemi1, Mefail Tahiri2
Authors country of origin: North Macedonia1/2
Institutional affiliation: Professor at University of Tetova1/2
Abstract
In our time data experts need to deal with an enormous amount of data that need to be managed and build knowledge upon them to maintain a solid step in the landscape of continuous development and change. The lack of proper data management will certainly lead to confusion, problematic issues, stress, and, of course, failure. If we take all of this into consideration, it is quite clear that managers need to find tools with which they can facilitate such an undertaking so they can achieve the objectives of a given enterprise, no matter its size and scope. Data Science is an IT field that tries to provide how managers can achieve these tasks, something that we will try to exemplify and evaluate in our paper. To prepare and evaluate the outcome of the paper, we have used various methods that have provided the means to analyze the problem from different aspects. First and foremost, the exploratory method has been used to explore the huge material available in books, websites, other papers of the field, all of which have been contextualized and selected to give the needed clarification of the problem and to make the point as concise as possible. Considering the importance of data and the value it brings to the table of any given business or any other institution makes it obvious that managing it is the key to success, which is why we have chosen this topic and our purpose is to make people focus on proper data management.
Keywords: data science, management, data, information.
Volume 2.No.1(2019): April
ISSN 2661-2666 (Online) International Scientific Journal Monte (ISJM))
ISSN 2661-264X (Print)
DOI : 10.33807/monte.202004657
DOI URL: https://doi.org/10.33807/monte.202004657
Full Text: PDF
This is an open-access article under the CC BY-NC-ND license (creativecommons.org/licenses/by-nc-nd/4.0/)