Anonymization is a data processing technique that removes or obscures personal information from datasets, ensuring that individuals cannot be readily identified. It is crucial for protecting privacy and maintaining data integrity, especially in fields such as healthcare, finance, and marketing. This page provides insights into various anonymization techniques, their applications in data protection regulations, and the challenges faced in achieving effective anonymization while retaining data utility.