What is data anonymization? And what are the best techniques to use? In this What That Means video, Camille Morhardt talks with Kristin Ulrich, Senior Solutions Specialist at SAP for HANA architecture about data anonymization.
- Data anonymization means information is irreversibly altered and can no longer be identified directly, or indirectly
- The type of parameters or methodology applied to a data set will depend on on each individual data set
- There is always a level of risk involved with anonymization; you cannot guarantee complete anonymity
- If you are working with companies in different countries make sure you understand any data regulations laws, in some cases they are continually evolving
- And more!