Abstract
This article deals with the challenges that are faced by micro and small enterprises using data. After naming main hypotheses of the research, the attention is paid to definitions of big and small data and to their comparison. In the paper, analyses of the connections between big data and Internet are given. The main attention is paid to the use of big data in micro and small enterprises through the analyses of needed skills, organizational changes and big data management including possible pros and cons. As a special item, the analysis of risks and implementation is given. The analyses are supported with a lot of research results and numerous literature sources. At the end of the article there are conclusions about directions how micro and small enterprises should use big data and how to invest rationally in big data.
Highlights
Today‘s globalized society is developing together with the development of information and communication technologies
H0 The null hypothesis of this analysis is: MSEs are not able to form their own infrastructure in order to be able to take advantage of big data in order to form their strategies of development and doing business
H1 The alternative hypothesis is: There are MSEs that can form their infrastructure so that they are able to take advantage of big data in order to form their strategies of development and doing business
Summary
Today‘s globalized society is developing together with the development of information and communication technologies. Development of information technologies, especially in the fields of big data, cloud computing and data mining is very dynamic. This is well doccumented by publications of Asay, M. Big data are available to micro and small enterprises ( MSEs) and they have to develop systems and procedures for their proper and effective exploitation. Due to their sizes and the limited area of interest, it is quite possible that MSEs find a new specific, and more convenient and efficient methods to benefit from the data collected.
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