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Research papers

The value of machine learning in privacy

Online behavioral data is a valuable source of insights for researchers. However, data collected passively via tracking meters contains Personal Identifiable Information (PII). With the GDPR into force, the value of online behavioral data is...

Catalogue: Fusion 2018 (Big Data World + Global Qualitative)
Authors: Carlos Ochoa, Ezequiel Paura
Company: Netquest
November 11, 2018
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Citation

Ochoa and Paura (2018a, November 11). The value of machine learning in privacy. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/the-value-of-machine-learning-in-privacy-9493


Videos

The value of machine learning in privacy

Online behavioral data is a valuable source of insights for researchers. However, data collected passively via tracking meters contains Personal Identifiable Information (PII). With the GDPR into force, the value of online behavioral data is...

Catalogue: Fusion 2018 (Big Data World + Global Qualitative)
Authors: Carlos Ochoa, Ezequiel Paura
Company: Netquest
November 11, 2018
×

Citation

Ochoa and Paura (2018a, November 11). The value of machine learning in privacy. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/the-value-of-machine-learning-in-privacy


Videos

The privacy paradox

We are being tracked. This study focuses on the past, present & a more autonomous future where consent regarding privacy on consumer's devices, and increasing consumer awareness and control of their privacy will be dramatically different.

Catalogue: Congress 2018
Authors: Martin Oxley, Pia Blase
September 23, 2018
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Citation

Oxley and Blase (2018a, September 23). The privacy paradox. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/the-privacy-paradox


Research papers

The privacy paradox

We are being tracked. As a 2017 study of more than 8,000 consumers across eight countries commissioned by Here Technologies and carried out by BuzzBack revealed, this paradox is also evident in respect of one form of personal information: location...

Catalogue: Congress 2018
Authors: Dora Heinkel, Pia Blase, Martin Oxley, Andre Schuenemann, Ralf Becker
Company: BuzzBack Market Research
September 23, 2018
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Citation

Heinkel, Blase, Oxley, Schuenemann and Becker (2018a, September 23). The privacy paradox. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/the-privacy-paradox-9411


Videos

From the dusted drawer to the top of the pile

The main objective of this study is to determine the status quo of sharing market research results by both the agency and company/client, and to explore new ways of sharing these results for a high impact and forward integration. In this study we...

Catalogue: Congress 2017: Visionary
Authors: Jasper Melchers, Iris van Loon
Company: SKIM
October 26, 2017
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Citation

Melchers and van Loon (2017a, October 26). From the dusted drawer to the top of the pile. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/from-the-dusted-drawer-to-the-top-of-the-pile-9103


Research papers

From the dusted drawer to the top of the pile

The main objective of this study is to determine the status quo of sharing market research results by both the agency and company/client, and to explore new ways of sharing these results for a high impact and forward integration. In this study we...

Catalogue: Congress 2017: Visionary
Authors: Jasper Melchers, Julia Gornandt, Iris van Loon, Joey Ophof
Company: SKIM
September 5, 2017
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Citation

Melchers, Gornandt, van Loon and Ophof (2017a, September 05). From the dusted drawer to the top of the pile. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/from-the-dusted-drawer-to-the-top-of-the-pile