Overcoming privacy issues by generating 'fake' customer data

Ort: Wirtschaftsuniversität Wien , Teaching Center TC.5.04 am 07. November 2019 Startet um 13:00 Endet um 15:00
Art Vortrag/Diskussion
SpracheEnglisch
Vortragende/r J.E.(Jaap) Wieringa
Veranstalter Department Marketing
Kontakt christian.spadt@wu.ac.at

Marketing Research Seminar Series

The „Research Seminar Series“ held by the WU's Marketing Department helps to connect our Faculty with international scholars from the Marketing field. They are invited to present their latest research and discuss the current trends and developments in all major areas of marketing.

In his Research Talk J.E.(Jaap) Wieringa, Universität Groningen (NL) will talk about  „Overcoming privacy issues by generating 'fake' customer data“
 

Abstract: Privacy is a fundamental right of customers . Over the years, we observe growing attention for privacy concerns, due to wider availability of data and the the development of methodologies which jointly allow for more ne-grained and individual analyses of custo-mers' needs and wants. This leads to benets for consumers, but this can also be perceived as pervasive. The associated privacy concerns have led to a critical attitude towards the collection and analysis of individual customer data. In this talk, I will discuss one of the pos-sible directions to alleviate such privacy concerns. I will discuss a paper in which we develop generative networks that are able generate individual-level data of customers, that are non-existing, but mimic data of real customers. I will discuss three marketing data sets with dierent characteristics,to which we apply our approach. We show to what extent these networks are successful in generating 'fake data', by comparing the marketing insights they produce with the insights that the true data deliver. Surprisingly, we shows that analysis of fake data can in some cases outperform analyses of real data. We also pay attention to the possible opportunities that this approach can have for academics and rms to alleviate privacy concerns. We believe this might facilitate sharing data, even under tight GDPR requirements, thereby potentially improving business outcomes and accelerating scientic progress in the eld of marketing.



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