# Effective Data Utilization in the Context of Industry 4.0 Technology Integration
## 3 Research Results
Figure 4: Implementation of Industry 4.0 depending on the size of the company. \begin{table}
\begin{tabular}{c c c c} \hline \hline  & **Value** & **df** &
\begin{tabular}{c} **Asymptotic Significance** \\ **(2-Sided)** \\ \end{tabular} \\ \hline Pearson Chi-Square & 40.164 a & 4 & 0.000 \\ Likelihood Ratio & 36.326 & 4 & 0.000 \\ Linear-by-Linear Association & 38.642 & 1 & 0.000 \\ N of Valid Cases & 206 & & \\ \hline \hline \end{tabular} a Three cells (33.3%) have expected count less than 5. The minimum expected count is 0.88.  
\end{table} 
Table 5: Results of hypothesis 2 using the Chi-square test. With regard to hypothesis 2, where we confirmed the correlation of Industry 4.0 implementation with the size of the organization, in Table 6 we have broken down the different technologies introduced depending on the size of the organization. From above Table 6, it is clearly evident that the individual technologies of Industry 4.0 were most often implemented in organizations with 250 or more employees. The introduction of the technologies in the micro-organization was unlikely, as can be seen in Table 6.  
Digitalization is becoming a crucial factor in increasing competitiveness now and in the future. It is driven by data and leveraging it to its best advantage. By making efficient use of the available data, organizations are able to make decisions and analyses in order to meet their objectives, e.g., reducing costs, improving the use of production capacity, increasing quality, improving product features, etc. Therefore, in the next section, we focus on the current ways/opportunities of data use in organizations (RQ4--see on Figure 6--should correctly be Figure 5). \begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline  & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \multicolumn{1}{c}{} & \\ \cline{2-11} \multicolumn{1}{c}{**Technologies of**} & \multicolumn{2}{c}{**1 to 9**} & \multicolumn{2}{c}{**10 to 49**} & \multicolumn{2}{c}{**50 to 249**} & \multicolumn{2}{c}{**250 and More**} & \multicolumn{2}{c}{**Overall**} \\
**Industry 4.0** & **Absolute** & **Relative** & **Absolute** & **Relative** & **Absolute** & **Relative** & **Absolute** & **Relative** & **Absolute** & **Relative** & **Relative** & **Relative** \\  & **Frequency** & **Frequency** & **Frequency** & **Frequency** & **Frequency** & **Frequency** & **Frequency** & **Frequency** & **Frequency** & **Frequency** & **Frequency** \\ \hline Autonomous robots & 1 & 0\% & 0 & 0\% & 21 & 6\% & 105 & 31\% & 127 & 38\% \\ \hline Big data & 3 & 1\% & 1 & 0\% & 11 & 3\% & 72 & 21\% & 87 & 26\% \\ \hline Cloud computing & 6 & 2\% & 6 & 2\% & 37 & 11\% & 89 & 26\% & 138 & 41\% \\ \hline Simulation and virtual reality & 0 & 0\% & 4 & 1\% & 8 & 2\% & 48 & 14\% & 60 & 18\% \\ \hline Internet of things & 1 & 0\% & 2 & 1\% & 7 & 2\% & 35 & 10\% & 45 & 13\% \\ \hline System integrity & 1 & 0\% & 3 & 1\% & 17 & 5\% & 59 & 17\% & 80 & 24\% \\ \hline Cybersecurity & 3 & 1\% & 0 & 0\% & 25 & 7\% & 79 & 23\% & 107 & 32\% \\ \hline Cyber–Physical systems (e.g., automatic conveyors) & 0 & 0\% & 0 & 0\% & 15 & 4\% & 66 & 20\% & 81 & 24\% \\ \hline Do not know & 9 & 3\% & 14 & 4\% & 14 & 4\% & 59 & 17\% & 96 & 28\% \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Implementation of Industry 4.0 technologies depending on the size of the company. Figure 5: Introduced technologies of Industry 4.0. RQ4: What the data collected from each process is used for? The most common response was improving production processes, which was indicated by 237 (70%) of respondents from industrial organizations. The second area in order was quality control and improvement, which was indicated by 166 (49%) of the respondents. RQ5: How does the introduction of Industry 4.0 technologies affect the data utilization from the analysed processes of the organisation.