This event has taken place
£145 + VAT
£195 + VAT
£145 + VAT
Text analytics is a huge business, valued at $2.7 billion in 2016, and expected to reach $18.3 billion by 2024. It’s also an extremely diverse field, and one of the most popular of the numerous innovations within research today. However, there’s been little change in the research industry’s usage of text analytics in recent years.
We explored the possibility of using open-ended data to predict people’s levels of happiness with work and their position on the work-life balance spectrum. This webinar will look in detail at two analytics solutions that we explored in depth, comparing them and drawing more far-reaching conclusions about the future of the field.
Displayed pricing is for a season ticket to register for all training webinars. Please see below for individual webinar pricing.
Who will find it useful
Agency-side or client-side researchers with basic or limited knowledge of text analytics, regardless of whether they have hands-on experience of automatic analysis of open-ended data.
Speakers: Charlotte Crichton & Kate Downer
Objectives
Learning outcomes
Attendees will gain…
Speaker 1: Charlotte Crichton
Charlotte, Associate Director Breaking Blue, manages complex multi-methodology projects, and has a particular focus on online surveys and optimising the survey experience for participants. With a natural flair for analysing and interpreting large data sets, Charlotte has expertise in a wide range of statistical techniques and in presenting complex data in a clear and engaging way.
Speaker 2: Kate Downer
A hands-on quallie with 15 years’ agency-side experience, Breaking Blue Research Director Kate combines research excellence with thoroughness, flexibility, enthusiasm and a love for tricky problems! While her sector expertise is wide-ranging and includes central government and investment banking, Kate’s focus has been on consumer research for several years now, and she works extensively with health, retail and FMCG brands.
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