In today’s contemporary business climate, data-driven management has emerged as an essential approach for organizations progressing towards streamlining overall operations, elevating decision-making, and promoting creativity. However, when the same data analytics assimilates with managerial applications, it leads to intricate ethical issues to deal with. This chapter examines vital ethical dimensions inherent in data-driven management such as data protection and privacy, liability, transparency, and possibilities of fraudulent use. The key concern is protecting the data collected while ensuring that it is collected with informed and mutual consent from the subjects. At the same time, maintaining transparency in data collection and its eventual utilization is also crucial to gaining and securing trust. Another significant challenge is the liability of companies and individuals to maintain and employ the data ethically. This ethical landscape becomes further complicated by data manipulation or misuse and the detrimental effects of predictive analysis. Businesses can levy data-driven management to promote efficiency and innovation as well as trust and integrity in their operations by proactively tackling these ethical challenges. The chapter unfolds a comprehensive review that delves into the ethical challenges and considerations of corporate decision-making based on data analytics and summarizes the ethical framework encompassing principles of transparency and accountability of businesses in the era of pervasive data-driven decision-making.