Differential Privacy in Consumer Transaction Data
Consumer transaction data is a valuable resource for businesses and researchers alike, providing insights into consumer behavior and preferences. However, the use of such data raises consumer privacy concerns, because consumer transactions often contain sensitive information about individuals and their actions. This white paper explores the concept of differential privacy and its application in safeguarding personal identifiable information contained in consumer transaction data.
After exploring the theoretical foundations of differential privacy, practical implementations, and real-world examples in the consumer transaction data space, you should have a clear grasp of how differential privacy can be applied to protect individual privacy while enabling valuable data analysis.