Data Anonymization. Done Right in Salesforce

Описание: 44% of enterprises report poor data quality in masked or anonymized test environments.

Anonymization shouldn’t mean compromising on business insight.

You don’t need to know it was Saurabh’s record.
But you do need to retain attributes like:
Age group
Ethnicity
Language
Location distribution

That’s where most anonymization tools fail.
They scramble the data, then hope for the best.

DataMasker helps teams get anonymized data while keeping it realistic, multilingual, and structurally accurate.

So your testing and analytics stay valid while staying compliant.

Whether it’s for global training, PAE reports, or any other reports.
Your masked data should still behave like your real business.

How are you handling this today?
Is your anonymized data still business-ready?

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