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Biggest and most challenging trend is to properly devise a data design schema for:

1. an appropriate privacy and deanonymization level to each data item in a structure (corporate privacy, trade secret, account ID)

2. an appropriate privacy level to a tuple of data items (i.e., PII; name, ID, birthdate)

3. And a security context for each class of end-users (support, engineering team, marketing) to use what amount of and degree of deanonymized data items.



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