What Challenges Do Businesses Face in Data Minimization?
Despite its importance, data minimization poses several challenges:
Data Silos: Different departments may have separate data systems, making it difficult to implement a unified data minimization strategy. Legacy Systems: Older systems may not support data minimization practices, requiring costly updates or replacements. Employee Training: Ensuring all employees understand and adhere to data minimization practices requires continuous training and awareness programs. Data Value: Businesses may be reluctant to minimize data because of its perceived value for analytics and marketing purposes.