Resources Library by ANA

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

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 15, 2020

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

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

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

Authors: Laura Kroeff, Gabriel Milanez, Bianca Dallegrave, Rebeca Sainati, João Gabriel Cauduro

June 15, 2017

Social media meets Artificial Intelligence

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, Jorge Alagon, Horacio González Duhart

Company: KANTAR TNS Malaysia

June 15, 2017

Engagement on a tightrope

Venezuela is currently facing curtailed freedom of speech, human rights violations, shortages of essential goods, and ongoing public unrest is under debate, so independent and objective information is sought. Many believe that local media are under...

Catalogue: Latin America 2016: Research Renovation

Authors: Orlando Riebman, Juan Chasan, Pablo Cibella

Company: StatMark Group, S.A.

April 13, 2016

Solid as an MROC

According to Forrester, more and more agencies offer market Research online Community (mRoC) services alongside other methods. nonetheless, efficiently coping with the huge amount of text that some mRoCs produce often remains a challenge. This...

Catalogue: 3D Digital Dimensions 2012: (Online + Social Media + Mobile) Research

Authors: Steven Deketelaere, Istvan Hajnal, Jo Steyaert

Company: iVOX

November 6, 2012

Analysing relationship between advertising and marketing data

This paper describes the structure and main features of a tool aiming at understanding the role played by advertising within the marketing environment. A special focus is on the question how explanatory variables are selected and related according to...

Catalogue: Seminar 1996: Managing Media Data For Market Profit

Author: Claudio Conti

November 11, 1996