SlideShare a Scribd company logo
1 of 35
Antwoorden krijgen zonder vragen te stellen Welkom in de wereld van ongestructureerde data Annelies Verhaeghe, Director Observational research, InSites Consulting
Een aantal trends...
De kracht van klanten data
Branded communities
User-generated content
Culture van interviewen Cultuur van ‘caching’ We blijven vragen stellen De antwoorden zijn al aanwezig
Red ons research eco systeem
Welkom in de wereld van ongestructureerde data
Text analytics is the process of extracting knowledge and information from text
Twee principes
Extracting data Extractie   =Wat willen we verder gebruiken in onze analyse en wat kunnen we negeren? 1
1. Extractie fase STEP 1: extractie Software detecteert termen op basis van woordenboeken Linguistische  analysis Part of speech analysis BAQMaR  wants to make marketing research COOL again: well-known, popular and unique Marketing research COOL Well-known popular unique Count based wants  to make marketing  research COOL again Well-known popular unique Voeg ook eigen termen toe
Categories are higher-level concepts that represent higher level ideas and information in the text 2 Categorizatie
2. Categorizatie Augmented research model
2. Categorization phase In welke mate vinden we voor gedefinieerde topics terug?
[object Object],[object Object],Doelstellingen 1 2
Descriptive taxonomy detection
Evaluatie van de verschillende kandidaten 4 5 6 BUZZ TOP 6 1 2 3
2. Categorizatie Welke termen komen vaak samen? Welke thema’s komen vaak voor in de teksten?
Longevity Health problems Quality of Life Daily life impact The Case:  ‘They lived happily ever after’
81861
This is what’s out there... 44 thema’s
Buzz volume Sentimeter Success factoren Opportuniteiten Aandachtspuntent
Buzz volume Sentimeter Eating professional Housing Payment Guilt Identity Telephone call Treatment Diagnosis Transport Dog Personal care Law Clothes Active Friends Decision Safety Religion
[object Object],[object Object],[object Object],Telephone call?
3. Qualitative analysis Analyse van de originel verbatims
Qualitative analysis Abstraction Dimensionalisation Breaking Quotes Bridging Spiggle (1994)
12   online discussie groepen 80  deelnemers 63  landen 50  klanten 283  pagina’s teskst
Corporate Social Responsibility Why do you like a brand?
Uitdagingen
Text analyse is een gids
The text analyst of the future is a hybrid
Content is key
 
Are you ready?

More Related Content

Similar to Data Sources 2.0 - Presentatie Annelies

Session 7 measuring brand value 2011
Session 7 measuring brand value 2011Session 7 measuring brand value 2011
Session 7 measuring brand value 2011
John Verhoeven
 
170321 fdc - zit leiderschap in je dna - bernard van de weert
170321   fdc - zit leiderschap in je dna - bernard van de weert170321   fdc - zit leiderschap in je dna - bernard van de weert
170321 fdc - zit leiderschap in je dna - bernard van de weert
Flevum
 
Logeren in Vlaanderen - Social media presentatie
Logeren in Vlaanderen - Social media presentatieLogeren in Vlaanderen - Social media presentatie
Logeren in Vlaanderen - Social media presentatie
Talking Heads
 
Content Marketing Leergang dag 3
Content Marketing Leergang dag 3Content Marketing Leergang dag 3
Content Marketing Leergang dag 3
StormAcademy
 

Similar to Data Sources 2.0 - Presentatie Annelies (20)

Theoretisch kader en opzet afstudeeronderzoek
Theoretisch kader en opzet afstudeeronderzoekTheoretisch kader en opzet afstudeeronderzoek
Theoretisch kader en opzet afstudeeronderzoek
 
Versterk het vertrouwen in de missie (Steven De Cauwer)
Versterk het vertrouwen in de missie (Steven De Cauwer)Versterk het vertrouwen in de missie (Steven De Cauwer)
Versterk het vertrouwen in de missie (Steven De Cauwer)
 
Presentatie symposium Data driven HR with a human touch
Presentatie symposium Data driven HR with a human touchPresentatie symposium Data driven HR with a human touch
Presentatie symposium Data driven HR with a human touch
 
Onderzoekscyclus en vraagstelling
Onderzoekscyclus en vraagstellingOnderzoekscyclus en vraagstelling
Onderzoekscyclus en vraagstelling
 
Session 7 measuring brand value 2011
Session 7 measuring brand value 2011Session 7 measuring brand value 2011
Session 7 measuring brand value 2011
 
Innoveren van droom tot daad
Innoveren van droom tot daad Innoveren van droom tot daad
Innoveren van droom tot daad
 
Trends, College 1 - Intro in trendwatching
Trends, College 1 - Intro in trendwatchingTrends, College 1 - Intro in trendwatching
Trends, College 1 - Intro in trendwatching
 
Endrse - Next level online samenwerkingen tussen personalities en merken met ...
Endrse - Next level online samenwerkingen tussen personalities en merken met ...Endrse - Next level online samenwerkingen tussen personalities en merken met ...
Endrse - Next level online samenwerkingen tussen personalities en merken met ...
 
Toegepaste Cognitieve Psychologie in de educatieve praktijk
Toegepaste Cognitieve Psychologie in de educatieve praktijkToegepaste Cognitieve Psychologie in de educatieve praktijk
Toegepaste Cognitieve Psychologie in de educatieve praktijk
 
Onderzoekscylus en Vraagstelling
Onderzoekscylus en VraagstellingOnderzoekscylus en Vraagstelling
Onderzoekscylus en Vraagstelling
 
Veranderdiagnose (een samenvatting)
Veranderdiagnose (een samenvatting)Veranderdiagnose (een samenvatting)
Veranderdiagnose (een samenvatting)
 
NL - Module 3- Using external Data
NL - Module 3- Using external Data NL - Module 3- Using external Data
NL - Module 3- Using external Data
 
Denkpatronen open innovatie en keten innovatie - 2012-2013
Denkpatronen open innovatie en keten innovatie - 2012-2013Denkpatronen open innovatie en keten innovatie - 2012-2013
Denkpatronen open innovatie en keten innovatie - 2012-2013
 
Evidence Based Consultancy
Evidence Based ConsultancyEvidence Based Consultancy
Evidence Based Consultancy
 
170321 fdc - zit leiderschap in je dna - bernard van de weert
170321   fdc - zit leiderschap in je dna - bernard van de weert170321   fdc - zit leiderschap in je dna - bernard van de weert
170321 fdc - zit leiderschap in je dna - bernard van de weert
 
Strijker, A. (2006 12 14) Hergebruik Van Leermaterialen
Strijker, A. (2006 12 14) Hergebruik Van LeermaterialenStrijker, A. (2006 12 14) Hergebruik Van Leermaterialen
Strijker, A. (2006 12 14) Hergebruik Van Leermaterialen
 
Logeren in Vlaanderen - Social media presentatie
Logeren in Vlaanderen - Social media presentatieLogeren in Vlaanderen - Social media presentatie
Logeren in Vlaanderen - Social media presentatie
 
Content Marketing Leergang dag 3
Content Marketing Leergang dag 3Content Marketing Leergang dag 3
Content Marketing Leergang dag 3
 
[Webinar] Zo zet u in 3 stappen een pakkende contentstrategie neer
[Webinar] Zo zet u in 3 stappen een pakkende contentstrategie neer[Webinar] Zo zet u in 3 stappen een pakkende contentstrategie neer
[Webinar] Zo zet u in 3 stappen een pakkende contentstrategie neer
 
Hoe zet u in 3 stappen een pakkende contentstrategie neer
Hoe zet u in 3 stappen een pakkende contentstrategie neerHoe zet u in 3 stappen een pakkende contentstrategie neer
Hoe zet u in 3 stappen een pakkende contentstrategie neer
 

More from BAQMaR

More from BAQMaR (20)

Sam Wouters - Blockchain and the big data/market research industry
Sam Wouters - Blockchain and the big data/market research industrySam Wouters - Blockchain and the big data/market research industry
Sam Wouters - Blockchain and the big data/market research industry
 
Maarten Verschuere - A perfect storm: when market research and data science meet
Maarten Verschuere - A perfect storm: when market research and data science meetMaarten Verschuere - A perfect storm: when market research and data science meet
Maarten Verschuere - A perfect storm: when market research and data science meet
 
Prof. dr. Vincent F. Hendricks - Online bubbles and the downsides of social m...
Prof. dr. Vincent F. Hendricks - Online bubbles and the downsides of social m...Prof. dr. Vincent F. Hendricks - Online bubbles and the downsides of social m...
Prof. dr. Vincent F. Hendricks - Online bubbles and the downsides of social m...
 
Daphne Fecheyr Lippens - Biomimicry: learning from nature for disruptive inno...
Daphne Fecheyr Lippens - Biomimicry: learning from nature for disruptive inno...Daphne Fecheyr Lippens - Biomimicry: learning from nature for disruptive inno...
Daphne Fecheyr Lippens - Biomimicry: learning from nature for disruptive inno...
 
Ludovic Depoortere - Virtual reality meets sensory research
Ludovic Depoortere - Virtual reality meets sensory researchLudovic Depoortere - Virtual reality meets sensory research
Ludovic Depoortere - Virtual reality meets sensory research
 
Yuri Van Geest - Exponential Organizations
Yuri Van Geest - Exponential OrganizationsYuri Van Geest - Exponential Organizations
Yuri Van Geest - Exponential Organizations
 
Denyse Drummond-Dunn - Winning Customer Centricity
Denyse Drummond-Dunn - Winning Customer CentricityDenyse Drummond-Dunn - Winning Customer Centricity
Denyse Drummond-Dunn - Winning Customer Centricity
 
Stijn Geuens - I know what you’ll buy next summer
Stijn Geuens - I know what you’ll buy next summerStijn Geuens - I know what you’ll buy next summer
Stijn Geuens - I know what you’ll buy next summer
 
Chloé Van Vreckem - Uncovering the true Customer Value by using Survival Anal...
Chloé Van Vreckem - Uncovering the true Customer Value by using Survival Anal...Chloé Van Vreckem - Uncovering the true Customer Value by using Survival Anal...
Chloé Van Vreckem - Uncovering the true Customer Value by using Survival Anal...
 
Andy Petrella - Data Science is changing and you won’t be allowed to claim yo...
Andy Petrella - Data Science is changing and you won’t be allowed to claim yo...Andy Petrella - Data Science is changing and you won’t be allowed to claim yo...
Andy Petrella - Data Science is changing and you won’t be allowed to claim yo...
 
Anouk Willems - Turning Insights into Company-wide Memes
Anouk Willems - Turning Insights into Company-wide MemesAnouk Willems - Turning Insights into Company-wide Memes
Anouk Willems - Turning Insights into Company-wide Memes
 
Anouar El Haji - Auctions Speak Louder than Words
Anouar El Haji - Auctions Speak Louder than WordsAnouar El Haji - Auctions Speak Louder than Words
Anouar El Haji - Auctions Speak Louder than Words
 
Christophe Ovaere - Disrupting the Traditional MR Model
Christophe Ovaere - Disrupting the Traditional MR ModelChristophe Ovaere - Disrupting the Traditional MR Model
Christophe Ovaere - Disrupting the Traditional MR Model
 
Ray Poynter - Keynote: The Mobile Future of Research & Analytics
Ray Poynter - Keynote: The Mobile Future of Research & AnalyticsRay Poynter - Keynote: The Mobile Future of Research & Analytics
Ray Poynter - Keynote: The Mobile Future of Research & Analytics
 
Jon Puleston - Survey Research: The Science of ‘Prediction’
Jon Puleston - Survey Research: The Science of ‘Prediction’Jon Puleston - Survey Research: The Science of ‘Prediction’
Jon Puleston - Survey Research: The Science of ‘Prediction’
 
Filip Maertens - Artificial Intelligence: Building Emotion & Context aware Re...
Filip Maertens - Artificial Intelligence: Building Emotion & Context aware Re...Filip Maertens - Artificial Intelligence: Building Emotion & Context aware Re...
Filip Maertens - Artificial Intelligence: Building Emotion & Context aware Re...
 
Corinne Sandler - Keynote: Wake up or die! Be the only one who does what you ...
Corinne Sandler - Keynote: Wake up or die! Be the only one who does what you ...Corinne Sandler - Keynote: Wake up or die! Be the only one who does what you ...
Corinne Sandler - Keynote: Wake up or die! Be the only one who does what you ...
 
Tom De Ruyck - Opening session: Disrupt or be Disrupted
Tom De Ruyck - Opening session: Disrupt or be DisruptedTom De Ruyck - Opening session: Disrupt or be Disrupted
Tom De Ruyck - Opening session: Disrupt or be Disrupted
 
Wim Hamaekers - Neuro Science: Car Clinics 3.0 – Winner Esomar Effectiveness ...
Wim Hamaekers - Neuro Science: Car Clinics 3.0 – Winner Esomar Effectiveness ...Wim Hamaekers - Neuro Science: Car Clinics 3.0 – Winner Esomar Effectiveness ...
Wim Hamaekers - Neuro Science: Car Clinics 3.0 – Winner Esomar Effectiveness ...
 
Kristof Coussement - The Debate: the Future of (Big) Data Analytics Software
Kristof Coussement - The Debate: the Future of (Big) Data Analytics SoftwareKristof Coussement - The Debate: the Future of (Big) Data Analytics Software
Kristof Coussement - The Debate: the Future of (Big) Data Analytics Software
 

Data Sources 2.0 - Presentatie Annelies

Editor's Notes

  1. Over the last couple of years, a revolution in user-generated-content has taken place: The rise of social media makes it easy for consumers to share their opinion about brands and products online People are more involving in what is called ‘life caching’: they are broadcasting their life experiences real life with others through twitter, Facebook, etc. This content is not only produced at home behind their computer. By using smart phones, they can send updates ‘on the go’. Messages about how they experience products and brands are therefore written and send ‘in the heat of the moment’
  2. In contrast to the vast amount of spontaneous user-generated-content online, the market research keeps on asking for more content We organize focus groups, surveys, and interviews where we ask consumers for their opinion. Yes, we have adopted some of the social media tools by setting up research communities, online focus groups with chat and blogs. The large information of social media content has however been largely ignored. Nowedays, we ask our research participants information that might be already be available on social media We should therefore change our philosophy of interviewing to a culture of caching where we listen to the online conversations online
  3. Why should we do this? In a time where response rates in traditional research are declining, these spontaneous answers are a welcome source of information. The industry is realizing that panel and survey participants are a scarce resource that should be used carefully. One action we can undertake to maintain our research ecosystem is data recycling. If we already have information available about a research question, we can re-use existing information instead of collecting new information about the topic. Especially for topics with high involvement (like health) or topics with a strong link to the internet (like technologies), we can take advantage of the large amount of existing information online.
  4. Two approaches can be taken: You can look at social media content top-down: in this case you look at the data you have collected with a specific research question in the back of your mind. Examples are fi looking what people say about a certain brand. Looking for buzz about a communication campaign. Etc. A second approach is bottom-up analysis: in this case you take a very open approach towards the content by NOT asking specific research questions but instead looking at the big themes that spontaneously emerge in the data.
  5. First a quick note on the methodology … This is the qualitative research of the 21 st century … one location and no travel. It is a nerve centre with screens and facilities.
  6. Good brands place the consumer at the centre . They need to understand the needs of the consumer They need to offer as much value as possible to the consumer Without consumers...there is no brand A good brand also offers good price versus quality A good brand also needs to make profit because without profit the brand cannot innovate or keep lasting Good brands care about their employees. They need to have a safe and fun working place Good brands are leaders in innovation. Good brands undertake their activities without harming the environment. A good brand is also good in communicating the product to the world through advertising. They have a strong image and excellent reputation Good brands care about the countries and the law in those countries where they have hubs.
  7. Finally, it is not only the guidelines for conducting social media netnography that will evolve: the new consumer is more empowered and will increasingly use social media to give feedback to companies and brands. This implies that internal marketing and customer insights departments and perhaps entire organisations will need to be more tuned to this new way of communication. The market researchers of the future will not only have to excel in asking but they will need to excel in listening . We hope this case on social media netnography has helped to make a first step in that direction!