Análise do processo de implementação de uma cultura de dados na área de gestão na remuneração de uma indústria

Abstract

A data-driven culture, also known as the data-driven approach, stands out for basing decisions on evidence and quantitative analysis rather than intuition. Specifically in the area of compensation management, the adoption of this culture can provide significant benefits, considering the complexity and importance of this system in Human Resources (HR)

management. In this context, the research aims to describe the implementation of a data- driven culture in compensation management in an industry. The study adopts a qualitative and

descriptive nature, employing a case study as the research strategy. Data were collected through semi-structured interviews with ten compensation professionals from a large industry. Data analysis was carried out using the content analysis technique, providing an in-depth view of the experiences and perceptions of the interviewees. The main challenge identified was the implementation of a data-driven culture in compensation management. The organization faces difficulties with the centralization and integration of fragmented data, insufficient and uneven training for the use of analytical tools, and the need for manual effort due to the lack of integration between data sources. Standardization is hindered by the autonomy of units, generating inconsistent and unreliable data. Resistance to changing mindsets and adopting a data-driven approach was also found. Despite this, the adoption of new technologies and analytical systems indicates progress, with the centralization and integration of data being clear priorities. The main expected benefits of implementing a data-driven culture in compensation management include greater efficiency and accuracy in processes, reduction of subjective bias, agility in decision-making, improvement in internal communication and integration between areas, and the ability to anticipate issues such as employee turnover.