GARTNER® MARKET RESEARCH: DATA ANONYMIZATION
Data Anonymization Techniques
Organizations implementing data anonymization increase trust in their data, improve process efficiencies, and speed up operationalization of test data management, analytical models, and more.
Download the latest research by analyst firm Gartner to learn when it's best to employ data anonymization tools and when synthetic data generation is the optimal choice.
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Gartner report highlights:
- How to de-identify data and comply with GDPR, CPRA, HIPAA, etc.
- Data anonymization vs. synthetic data
- Data protection strategies: how to safeguard sensitive data, evaluate synthetic data feasibility, and calculate ROI.
- Best Practices on combining data protection methods, managing costs, and ensuring compliance.
Vital market research and analysis
Synthetic data generation techniques may not be suitable due to the inability to mimic the system’s structural and statistical properties accurately. In such cases, anonymization techniques should be used to provision test data, ensuring data security while maintaining effective testing.
