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De-Identification: A Pragmatic Way to Solve for Data Privacy
With data privacy on everyone’s mind it is important to understand your options when it comes to gathering multi-faceted market research insights. This whitepaper delves into a pragmatic approach for data integration and anonymization with rigorous adherence to data privacy.
You will learn how de-identification is used to provide an anonymized 360 degree view of an individual across diverse data silos that protects confidential, personal, identifiable information while enabling complex analytics and insights. Three use cases are included to illustrate the invaluable benefits of data integration without privacy concerns:
- Determine influence of digital touch points on offline sales
- Onboard digital behavioral data into a DMP or a Data Ecosystem
- Bridge clinical data and digital behaviors
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