Data anonymization is the process of protecting private or sensitive information by removing or altering personally identifiable information (PII) from data sets. This allows the data to be used for analysis, testing, or research without revealing the identity of individuals. Common techniques include masking, generalization, pseudonymization, and suppression.
Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable.
Use Sumble to: