# Effective Data Utilization in the Context of Industry 4.0 Technology Integration
## 2 Materials and Methods  
The aim of the research was to determine the extent to which individual technologies of Industry 4.0 are applied in the effective utilization of data from specific activities/processes in industrial organizations to shift the paradigm from traditional organizations to smart organizations. Literary titles used in the theoretical part represent a summary of knowledge from the latest publications registered in reputable databases or published in journals with a high impact factor. The theoretical knowledge was summarized to correspond with thecontent of the research part of the paper. As has been described in various literature sources, the application of the different technologies of Industry 4.0 may vary depending on the size of the organization or the focus of the business. The research problem was elaborated through the definition of research questions and research hypotheses.  
Empirical data on the research subject were collected using a scientific questionnaire. The questionnaire was developed on the basis of a pilot survey (number of respondents 80--1 expert per 1 enterprise, members of the industrial council and top managers of the participating industrial enterprises) and on the basis of structured interviews with managers of industrial enterprises. The questionnaire contained a total of 37 closed-ended questions, the first part was aimed at finding out the identification and demographic characteristics of the respondents. Due to the narrower focus of the research in question, only a part of the obtained data closely related to the topics of Big Data and CPS was used.  
In the elaboration of all parts of the paper, from the Introduction, through the Theoretical Background to the Discussion, basic thought processes such as analysis, synthesis, abstraction, concretization, deduction, analogy, comparison, etc., were used. Data interpretation was approached through descriptive and quantitative statistical methods. The research questions were formulated for the purposes of the above research (see acknowledgements), and the outputs were statistically evaluated separately for publication purposes. Parametric and non-parametric statistical tests were used to test the relationships between dependent and independent variables. The collected data were processed using Microsoft Excel 365 (Academic Licence), IBM SPSS Statistics version 22.0 (Statistical Package for the Social Sciences). The anonymity of the respondents was maintained in the processing of the results.  
The research sample consisted of employees of industrial organizations of all sizes in three regions of Slovakia. The sample consisted of 556 respondents. Of this number, 80 (14%) respondents worked in the public and state administration sector, 138 (25%) in the service sector and 338 (61%) in industrial production. Given the research focus of our paper, we examined organisations operating in the industrial sector. A deeper breakdown of the respondents operating in each of the industrial manufacturing sectors is provided in Table 1.  
In addition, from the results of the questionnaire survey, we found that 233 (69%) of the respondents belonged to the category of large organizations (250 or more employees), 64 (19%) belonged to the category of medium organizations (up to 249 employees) and the remaining 41 (12%) belonged to the category of small or micro-organizations (less than 49 employees).