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Videos

Finding the 80% rotten apples in your innovation pipeline

"I fully trust the predictions of product pre-testing. It is well-invested money!"In a nutshell, that's the change in perception among CEOs which would delight us.Imagine if you could test products before placing them in your sales channels in such a...

Catalogue: Insights Festival 2020
Authors: Alexander Falser, Lukas Waidelich, Marco Walter
Companies: Tchibo, Cauliflower
September 16, 2020
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Citation

Falser, Waidelich and Walter (2020a, September 16). Finding the 80% rotten apples in your innovation pipeline. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/finding-the-80-rotten-apples-in-your-innovation-pipeline


Videos

Social media meets Artificial Intelligence (Spanish)

How to extract valuable insights from a noisy medium such as Twitter? Our approach is to use artificial intelligence to extract semantic features from the data. Once these features are extracted we can use machine learning techniques to extract...

Catalogue: Latin America 2017: #IN
Authors: Horacio Gonzalez, Moisés Arizpe
Company: KANTAR TNS Malaysia
June 15, 2017
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Citation

Gonzalez and Arizpe (2017a, June 15). Social media meets Artificial Intelligence (Spanish). ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/social-media-meets-artificial-intelligence-spanish-


Videos

Brand semantic clustering

Brand Semantic Clustering suggests innovation, comprehensive, spontaneous, perennial and economic outlook on market research. It provides insights concerning brands based on the semantic clustering of spontaneous data on the main social networks. It...

Catalogue: Latin America 2017: #IN
Author: Laura Kroeff
June 15, 2017
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Citation

Kroeff, L. (2017a, June 15). Brand semantic clustering. ANA - ESOMAR. Retrieved April 27, 2024, from


https://ana.esomar.org/documents/brand-semantic-clustering