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Data Utility

Data Utility:

A measure of how useful a data set is (e.g. for business insight, analytics, machine learning, etc). The removal of personal data and/or noise addition can make data suffer a loss of utility.
There are a number of use cases in which sensitive data isn't actually needed to achieve valuable results - and de-identified data is just as useful (we talk about it in this blog post). Businesses sometimes need to assess the privacy/utility trade-off when making decisions on privacy policies.

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Data de-identification 101 Webinar

The privacy fallacy: Why we need to stop thinking of data protection as an inhibitor of enterprise analytics

When you compare the big data ‘promise' to the analytics reality described above, it’s easy to blame the execution gap on privacy, and think of it as an inhibitor to progress. But that would be a significant mistake for any organisation, for several reasons.

Type: Blog
Audience: Business
Topic: Data Masking
Date: 2018-03-01

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