De-identifying or anonymizing their 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.

In this guide, you learn the right de-identification techniques for a particular use case to help you achieve multiple organizational goals:

• Minimize the risk of personal and business-sensitive information being leaked, breached, or used without authorization
• Increase safe use of data in a wider range of use cases, for a broader set of stakeholders
• Create confidence among customers by ensuring the privacy of their data
• Build trust among internal stakeholders by providing them safe and useful data
• Comply with data protection and privacy regulations, thereby avoiding fines and penalties