Resources Library by ANA

The Future of Privacy-Centric Advertising Measurement

In this paper, we introduce a privacy-centric advertising measurement framework to demonstrate howmeasurement can help businesses grow in the era of privacy restrictions. The COVID-19 pandemic hascaused big changes in the global economy (the biggest...

Catalogue: Congress 2022: 75th Anniversary

Author: Minh Nguyen

Company: Google

September 23, 2022

Machine learning and privacy

Machine Learning algorithms are born as a solution to a problem. Once we feel comfortable with a prototype, there is still a long path to its deployment...and it is rarely a smooth one. We would like to share our experience transiting that path.

Catalogue: Fusion 2019

Authors: Marcello Frattini, Anna Bellido, Joaquin Casino

Company: Netquest

November 10, 2019

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

Cracking the congealing data privacy code

The increasing importance for researchers to be proactively involved in discussing and carving the data privacy policies within organisations, in order to ensure the industry does not become inoperable in a compliance manifested environment.

Catalogue: Congress 2018

Author: Kudzai Guvi

September 23, 2018

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

Data confidential

Borrowing techniques from record linkage and using the latest algorithms from machine learning to link survey data with internal data, whilst still maintaining the individual anonymity.

Catalogue: Big Data World 2017: Smart Data Integration

Authors: Diane Berry, Josef Rieder

November 10, 2017

How to protect privacy in large datasets

In the digital age, market researchers are looking for new methodologies to understand consumer behaviour. Behavioural data collection through passive metering adds value to survey based data collection, as it measures objective data better because...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Authors: Simon Van Duivenvoorde, Oriol Llauradó, Ezequiel Paura

Company: Netquest

November 18, 2016

Revolutionising Asia

With social media evolving ever more rapidly, influencing the way people communicate and business operates - the need to understand the emerging trends revolutionising social media, particularly in APAC, has never been greater.Through a unique...

Catalogue: Asia Pacific 2016: Get Connected!

Authors: Robert Fry, Jennifer Serrano, Michael Fegan, Bonnâe Ogunlade

Companies: Research Now SSI, VoxPopMe Ltd

May 19, 2016

ESOMAR practical guide on cookies

This Practical Guide offers guidance to the market, social and opinion researchers who use Cookies and similar technologies such as web beacons when conducting online activities on how to implement the European Union's (EU) new e-Privacy Directive...

Catalogue: ESOMAR Codes And Guidelines

Author: ESOMAR B.V.

July 15, 2012