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The Top 7 Techniques for De-identifying Data
About the Paper
De-identifying or anonymizing data is one of the best ways to ensure the safety of your customers, patients, partners, and employees.
De-identification replaces raw data values with safer alternatives in places where unauthorized people could use sensitive data in your datasets to identify these data subjects. Why and how you’ll choose to de-identify data varies by use case. It’s important to use the right de-identification techniques for your particular use case.
Dive into the top 7 de-identification techniques along with when and why to use each one.
De-identification replaces raw data values with safer alternatives in places where unauthorized people could use sensitive data in your datasets to identify these data subjects. Why and how you’ll choose to de-identify data varies by use case. It’s important to use the right de-identification techniques for your particular use case.
Dive into the top 7 de-identification techniques along with when and why to use each one.
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Copyright © 2011-2021 DATAVERSITY Education, LLC. All Rights Reserved.
13020 Dickens Street, Studio City, California 91604 | 1 (310) 337-2616
Terms | Privacy