Tensions have risen sharply in the US recently over freedom of speech and privacy with the Twitter/WhatsApp/Facebook issues.How are we in Asia Pacific responding to the big privacy issues? Is our profession under threat?Are we coping with the privacy pressures presented by AI, passive and big data. Do we know enough to handle the big questions?Learn all about the global and Asia perspectives from the legal side, leading associations who have grappled with the issues and a viewpoint from AirAsia.
For some time now, market researchers have realized that the volume of behavioral and attitudinal data now being generated, literally on an hourly basis, has the potential to fundamentally change how we help our clients better understand their customers and the markets in which they compete. The technologies and tools required to access, combine, and analyze these data already exist, and marketers and advertisers are using them on a broad scale. But within the market research sector, the promise of so-called 'big data' remains unfulfilled.This webinar will explore these and related issues. We will look at some of the ways in which marketers are taking advantage of the data tsunami to create powerful new insights about consumers. We also will consider the ways in which two values that comprise the foundation of market research -validity and respect for the privacy of those whose data we process- need to be rethought in this new context. Attendees will come away with a renewed sense of what is possible when working with these data, and a clearer perspective on the challenges market researchers face as they transition their work to these new ways of developing insights.
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.
This presentation talks about the hybrid approach combining big data analytics and qualitative research - with a special spotlight on Kenya and Ethiopia.
How do you handle more than 5 million verbatims and creative proposals in just two weeks?
Using lessons learned from managing mainstream brands including Budweiser and Transformers, Len Dunne will show how Elivar is using both qual and smart data to create brand awareness and plan for global domination.
Insights departments need to step up and take control of analytics to save the industry and their own business.
Doctor When will see you now. The time traveler's guide to consumer insights: How to foretell your consumer's destiny accurately with big & small data.
Out-of-Home (OoH) media has always been in trouble regarding measurements. Although great effort, resources, money and time has been spent in many countries, the complexity of the media - due to its geographical dispersion, volume and granularity - have been a headache for most researchers. The OoH medium has been difficult to measure due to its inherent nature to spread across the country, with each location measuring differently so that averages or simple models do not suffice to show the true potential of the medium. Methods for measuring trips to the locations of OoH audiences have evolved from paper questionnaires, to telephone interviews, to computer-assisted, to tablet- assisted, to using small GPS devices carried by respondents. In all cases, it was always previously expensive and slow. Therefore, when new requirements suddenly appear, due to the digital king, it makes the current OoH methodologies appear old, even to more senior research participants. Of course, this impacts the perceptions of the media itself, as the media planning tool lacks the advantages of other media such as fresh data. We think that only with the mix of several data sources, each one contributing its strength, can we provide the accurate information that we need for our goal: a worldwide OoH audience measurement.
Agea's big data case is a reference in Latin America. The volume of known and registered audiences is the highest in Argentina. The Big Data team was created and managed from a business area, which makes it more efficient and quick responsive. In just 3 years we built a solid team, with great business successes and a strong support for the digital transformation that the Clarin newspaper needs. With almost 15 million registered profiles, we have to be very careful in the security and the way of using this asset to build trust and keep growing.
As oil lead to Global Warming, data leads to Social Cooling. Comparing these two problems is not just intended as a warning. It offers hope, a blueprint for how to deal with this issue, and a deeper understanding of what it means to be human in our data-driven world.
Our goal was to conduct a study on a research project using big data and to compare the outcome of the analyses with traditional survey research. Online shopper ratings and review data in social media is an exciting and on trend data source and was compared to traditional survey data. The survey data included product tests, i.e. products were placed in-home and consumers evaluated the products using a standardized questionnaire. The objective was to derive substantive insights about the core drivers for a five-star-rating of consumer reviews in online shops or platform ratings for pet care products and compare these insights with drivers of liking from traditional research on pet care products already existing in the market. We validated the hierarchy of drivers for the overall product rating by conducting a meta analyses on previous product tests and assessed the drivers of overall liking.