Research departments are under pressure. They are expected to deliver faster, cheaper and more impactful insights than ever before. Instead of doing more and faster research, insight departments are also able to revisit existing data sources. Often, companies have plenty of valuable data sources at their disposable, without being aware of their full potential. Moreover, relevant databases are often publicly available via APIs or sold via data brokers. Yet, the biggest hurdle lies in making sense of this abundance of data. Companies are struggling to connect different sources due to different structures, missing values and other complexities. In the last years enormous advancements have been made in machine learning and data science. Although demystifying is needed in order to better understand this discipline in context. With a creative and pragmatic mind-set, the problem can be solved by borrowing techniques from this field of data science. We show a case â in the beverage industry â where we exploited existing data sources to uncover a hidden layer of insights.
Research departments are under pressure. They are expected to deliver faster, cheaper and more impactful insights than ever before. Instead of doing more and faster research, insight departments are also able to revisit existing data sources. Often, companies have plenty of valuable data sources at their disposable, without being aware of their full potential. Moreover, relevant databases are often publicly available via APIs or sold via data brokers. Yet, the biggest hurdle lies in making sense of this abundance of data. Companies are struggling to connect different sources due to different structures, missing values and other complexities. In the last years enormous advancements have been made in machine learning and data science. Although demystifying is needed in order to better understand this discipline in context. With a creative and pragmatic mind-set, the problem can be solved by borrowing techniques from this field of data science. We show a case â in the beverage industry â where we exploited existing data sources to uncover a hidden layer of insights.
Redefining qualitative research by combining different methods in order to find new, special and trendy usages.
We demonstrate how we helped feed the innovation funnel of Barry Callebaut with product ideas that have a higher likelihood of success. We show the importance of working from a motivational and multi-sensory perspective in uncovering a completely new consumer experience that can generate strong emotional impact that lasts and anchors itself in consumers' memory.
We demonstrate how we helped feed the innovation funnel of Barry Callebaut with product ideas that have a higher likelihood of success. We show the importance of working from a motivational and multi-sensory perspective in uncovering a completely new consumer experience that can generate strong emotional impact that lasts and anchors itself in consumersâ memory.
With Amazon buying Whole Foods, there is no way back for the retail industry. Disruption is now.
When beer beats wine in the restaurant! The quest fora perfect beer and food combination by using big data, algorithms and contextual consumer product testing (VR). In this paper we will therefore first introduce the concept of beer-food pairing based on molecular and machine learning information and its potential relevance for consumer delight. Subsequently, we will discuss the impact of context on the evaluation of such beer-food pairings by illustrating the current state of art in sensory and consumer context research.
When beer beats wine in the restaurant! The quest fora perfect beer and food combination by using big data, algorithms and contextual consumer product testing (VR). In this paper we will therefore first introduce the concept of beer-food pairing based on molecular and machine learning information and its potential relevance for consumer delight. Subsequently, we will discuss the impact of context on the evaluation of such beer-food pairings by illustrating the current state of art in sensory and consumer context research.