Governança de dados mestres: um estudo sobre a gestão e o impacto na tomada de decisão empresarial

Abstract

Business decision-making is a complex process that requires accurate, reliable, and readily available data. This study aimed to investigate best practices and technological solutions utilized by companies in managing the quality of master data and its impact on business decision-making. Data collection was conducted using an instrument developed with reference to previous research, such as Barbieri (2013) study published by FUMSOFT (Mineira Software Foundation). The sample of companies from the South and Southeast regions revealed challenges, such as the lack of formal policies, predominance of manual processes, and low frequency of master data updates. However, most companies considered their master data to be reliable and recognized the importance of data quality for strategic and operational decision-making. These findings highlight the need to invest in governance policies, automated processes, and employee training to enhance master data quality and maximize its positive impact on business decision-making.