Author(s): Draxil Venor
Data governance and ethical considerations have become central to the effective use of business analytics in modern organizations. As firms increasingly rely on data-driven decision-making, the need to ensure data quality, security, privacy, and ethical usage has intensified. This article examines the role of data governance frameworks in managing data assets and supporting responsible analytics practices. It explores key ethical issues such as data privacy, algorithmic bias, transparency, and accountability in business analytics. The study highlights how organizations implement governance structures, policies, and technologies to ensure compliance with regulations and maintain stakeholder trust. Furthermore, it addresses challenges related to data complexity, regulatory requirements, and organizational culture. The findings suggest that organizations that integrate strong data governance with ethical considerations can enhance decision-making, reduce risks, and achieve sustainable competitive advantage.