The authors research the challenges faced by companies during the implementation of Quality 4.0. More than 100 papers dealing with the relevant field and topic of the paper were taken into consideration, in order to create a more complete picture of the current challenges related to quality. The aim of the paper is to review the current business practice, which can serve all companies that are planning or are in the process of introducing top quality - Quality 4.0. The results are given in the form of a comparative analysis of papers, presented according to the year of publication. The review of the literature emphasized that there are 10 most common challenges that organizations face when introducing Industry 4.0 to date. The challenges are grouped, depending on the fact how many companies have encountered them, and are based on two main factors, people and technology.

The paper was created by reviewing the literature and business practices, which include the challenges of big data management in Industry 4.0. 30 scientific papers by eminent authors were analyzed, which emphasize the importance of Big Data and propose the implementation of one of the data management methods. Significant results of improvement through the application of new technologies have been observed in all industries. The aim of this paper is to summarize the experience of the company and include solutions for the most efficient data management in business practice, starting from data collection and storage to making the most important decisions.