Overview:
At this conference we will explore and discuss many key elements that impact data quality, including:
Participant Experience: Issues such as Communication; Screening techniques; Length of interview; Incentives
Fraud Prevention: Exploration into safeguarding the integrity and validity of
marketing research through advanced detection and prevention strategies.
We will share new research and best practice guidance regarding consistent industry language, use of secure end links, and much more.
Our goal in hosting this event is to raise awareness that data quality is the responsibility of all parties across the insights cycle and to provide knowledge, tools, and connections to enact improvements at all stages.
Who Should Attend? Anyone interested in improving the quality of the research and data in which they are entrusted. Practitioners and decision makers across qual and quant, from sample and data collection to questionnaire design, project management, analysis, and reporting – agencies and end clients.