Whereas Market Intelligence is a well-known term, the expansion into Augmented Market Intelligence might need some explaining. The logic here is the fusion of it with Augmented Intelligence, a term coming from the Artificial Intelligence / Machine Learning framework. In that context, what is augmented is originally meant to be the human intelligence, via automated analytics that are able to learn from training data. In our discussion here the scope is actually bidirectional. Certainly we are talking about some of the means that can be used to enhance and make more scalable human analytics and judgement, but it can also be viewed as a way to improve the quality of Artificial Intelligence. So in this talk we will be talking about the synergies and interaction of both human and automated analytics in the specific domain of Market Intelligence.
Whereas Market Intelligence is a well-known term, the expansion into Augmented Market Intelligence might need some explaining. The logic here is the fusion of it with Augmented Intelligence, a term coming from the Artificial Intelligence / Machine Learning framework. In that context, what is augmented is originally meant to be the human intelligence, via automated analytics that are able to learn from training data. In our discussion here the scope is actually bidirectional. Certainly we are talking about some of the means that can be used to enhance and make more scalable human analytics and judgement, but it can also be viewed as a way to improve the quality of Artificial Intelligence. So in this talk we will be talking about the synergies and interaction of both human and automated analytics in the specific domain of Market Intelligence.
This paper discusses the complex issue of price sensitivity analysis. The authors argue that the most effective method, currently available, of evaluating optimum pricing for established brands is conjoint analysis or trade off. The paper brings evidence to suggest this is not the case for new brands. However, the authors claim a critical area not accounted for in traditional conjoint analysis is that of interaction. Interaction is defined and a method that, in the opinion of the authors, is the most effective of measuring this factor is presented. Three case histories are analysed in detail dealing with product/price interaction, brand/price interaction and service/price interaction. Analysis of these cases includes discussion of the major corporate issue of brand equity.