Data analysis plays an important role in safety management. It can be seen as an important process involving the examination and interpretation of data to identify patterns, trends and recommendations related to safety in a particular environment or context. It helps organizations or individuals to make clear decisions and take the necessary action to improve safety measures and prevent accidents or incidents. One of the most powerful tools in the field of data analysis for decision-making is data visualization. The purpose of data visualization in the data analysis process for safety management is to present complex safety data in a visual format that is easy to understand and interpret. Our work aims to highlight the use of exploratory data analysis, and predictive data analysis in the field of occupational safety and health in order to improve safety levels.