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Research papers

Using the real behaviour behind Big Data to improve participant quality

We'll look at the psychology behind technology to show how big data is used to get closer to people's real behaviour. Brands use the wealth of information in digital footprints to reach consumers - we can use it to find the best people for research.

Catalogue: Fusion 2019
Authors: Patrick Fagan, Hugh Carling
Company: Liveminds
November 10, 2019
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Citation

Fagan and Carling (2019a, November 10). Using the real behaviour behind Big Data to improve participant quality. ANA - ESOMAR. Retrieved October 15, 2025, from


https://ana.esomar.org/documents/using-the-real-behaviour-behind-big-data-to-improve-participant-quality


Research papers

The ultimate wicked problem

Solving the problem of climate change was going to need more than a quick survey.

Catalogue: Fusion 2019
Authors: Colleen Ryan, Jane O'Loughlin
Company: TRA
November 10, 2019
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Citation

Ryan and O'Loughlin (2019a, November 10). The ultimate wicked problem. ANA - ESOMAR. Retrieved October 15, 2025, from


https://ana.esomar.org/documents/the-ultimate-wicked-problem


Research papers

Big Data big debate

How do you handle more than 5 million verbatims and creative proposals in just two weeks?

Catalogue: Fusion 2019
Author: Bruno Jeanbart
Company: OpinionWay
November 10, 2019
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Citation

Jeanbart, B. (2019a, November 10). Big Data big debate. ANA - ESOMAR. Retrieved October 15, 2025, from


https://ana.esomar.org/documents/big-data-big-debate


Research papers

Can machines be emotional?

We know emotions play an important role in consumer decision making but how do we access them at scale? SKIM and J&J teamed up to investigate!

Catalogue: Fusion 2019
Authors: Marcel Slavenburg, Judith Suttrup, Samantha Bond
Company: SKIM
November 10, 2019
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Citation

Slavenburg, Suttrup and Bond (2019a, November 10). Can machines be emotional?. ANA - ESOMAR. Retrieved October 15, 2025, from


https://ana.esomar.org/documents/can-machines-be-emotional-


Videos

Deconstructing what machine learning does when processing text

Learn how to use machine learning text analytics, from scratch, for free, using open-source R.

Catalogue: Fusion 2019
Author: Ray Poynter
Company: The Future Place
November 10, 2019
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Citation

Poynter, R. (2019a, November 10). Deconstructing what machine learning does when processing text. ANA - ESOMAR. Retrieved October 15, 2025, from


https://ana.esomar.org/documents/deconstructing-what-machine-learning-does-when-processing-text-10844


Videos

Become data-driven superheroes!

In this talk, Katya will explain what AI and augmented intelligence is (and is not) and highlights the value it creates in the new digital age using concrete examples. She'll demonstrate that AI tools became explainable and accessible to business...

Catalogue: Fusion 2019
Author: Katya Vladislavleva
Company: DataStories
November 10, 2019
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Citation

Vladislavleva, K. (2019a, November 10). Become data-driven superheroes!. ANA - ESOMAR. Retrieved October 15, 2025, from


https://ana.esomar.org/documents/become-data-driven-superheroes-


Videos
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Citation

Kuehne, M. (2019a, November 10). Answers not analytics. ANA - ESOMAR. Retrieved October 15, 2025, from


https://ana.esomar.org/documents/answers-not-analytics-10854


Videos

From social listening to e-seeing

The following presentation shows how L'Oréal Spain evolved from a classic social listening practice, based on text interpretation, to image-based analytics by developing AI existing algorithms with machine-learning techniques. Discovering how fast...

Catalogue: Fusion 2019
Authors: Alberto Rodríguez Romo, Estefanía Yaguez Lorenzo
Company: L'Oréal
November 10, 2019
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Citation

Romo and Lorenzo (2019a, November 10). From social listening to e-seeing. ANA - ESOMAR. Retrieved October 15, 2025, from


https://ana.esomar.org/documents/from-social-listening-to-e-seeing-10857


Videos

What you see (is NOT) what you get

The ad impact is often not obvious. Surveys provide blurry and quite contradictory answers. Behavioural tools turned out to be a godsend! By testing top brand campaigns with nonconscious research tools, we received unexpected non-trivial insights.

Catalogue: Fusion 2019
Author: Dmitry Gaiduk
Company: CoolTool Inc
November 10, 2019
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Citation

Gaiduk, D. (2019a, November 10). What you see (is NOT) what you get. ANA - ESOMAR. Retrieved October 15, 2025, from


https://ana.esomar.org/documents/what-you-see-is-not-what-you-get-10862