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5d โข General discussion
De-identification Standards
Data science teams often want to retain records indefinitely for research and statistical modelling.
Implementing strict de-identification/anonymization standards allows them to extract valuable analytics while completely removing the privacy and compliance liabilities tied to personal data.
- Does your data science team use live, identifiable customer data for their testing models?
- What specific masking technique do you use to irreversibly de-identify records before permanent storage?
Action Item: Draft a one-page de-identification standard for your data analytics team to follow.
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De-identification Standards
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