In today’s data-driven world, ensuring individual data privacy has become critical as organizations rely on extensive data for decision-making, research, and customer engagement. Data anonymization is a technique that transforms personal data to safeguard personal information while maintaining its utility. This balance allows organizations to leverage data without compromising privacy. The rise of Big Data and Advanced Analytics has heightened the necessity for efficient anonymization methods.
In our first series of articles about ensuring data privacy using data anonymization techniques, we will explore the importance of data anonymization, its ethical and legal implications, and its challenges. The following articles will review critical data anonymization techniques and their advantages and limitations.
