Kantar's Profiles Blog

Connecting Data Sources with Security

Posted by David Tripepi on Oct 7, 2019

The biggest misconception since the launch of GDPR is the belief the European legislation, published in May 2018, changed the landscape of privacy and security. However, what it actually did was set more stringent checks on the preexisting legal processes and privacy compliance, as well as increase the level of accountability through heftier penalty charges for those noncompliant.

So, how do we manage data and connect data sources safely without fear of handling the personal data of our customers and respondents in a careless manner?

We should start by stating the obvious concept of anonymisation.

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Topics: Data Driven Marketing, Privacy, Data Quality, MRX Trends, data enrichment, marketing research best practices, data series, gdpr, data search

Global Privacy Landscape for 2019 and Beyond

Posted by Jessica Santos on Feb 8, 2019

The global privacy landscape has changed dramatically in the beginning of this millennium. On the one hand, data is regarded as power and the new commodity or even currency, on the other hand, both data subjects and regulators have increasing demand of data privacy to avoid personal data violation.

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Topics: Privacy, gdpr

Validating Sources: Marketing Data Integration (Part 5a)

Posted by Melissa Moxley on Sep 12, 2018

As we know from part 3 of our Marketing Data Integration series, there’s an abundance of data available to marketers, from first-party, to second-party, to third-party. We know we can collect it from a variety of sources and connect these data for a more holistic view of our target customers. What we haven’t discussed yet is the integrity and quality of the mass data at our researching fingertips, or the importance data validation plays in the GDPR world we now live and work in. While only live for a few short months, the guidelines implemented by GDPR have had a significant impact on the digital advertising, consumer insights, and market research industries.

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Topics: Data Quality, data series, gdpr, validation

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