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.
In this webinar session, powered by ESOMAR in collaboration with the University of Georgia, and Market Research Institute International (MRII), you will benefit from 3 high-impact takeaways:1. Understand how the business assesses information need and integrates different data streams;2. Mini-case studies that reveal exactly how secondary-data sources can deliver fresh new business-boosting insights and outcomes to your marketing;3. Today's key secondary-data sources, and types you can effectively leverage.
This paper reviews the key ethical, legal, technical and data quality challenges researchers face when working with these new data sources. Its goal is to start a conversation among researchers aimed at clarifying their responsibilities to those whose data we use in research, the clients we serve and the general public. It uses the term secondary data to mean data collected for another purpose and subsequently used in research. It expands on the traditional definition of secondary data to account for new types and sources of data made possible by new technologies and the Internet. It is used here in place of the popular but often vague term, big data, and is meant to include data from various sources, such as transactions generated when people interact with a business or government agency; postings to social media networks and the Internet of Things (IOT). It is distinct from primary data, meaning data collected by a researcher from or about an individual for the purpose of research.