Mintel to work with INSEAD professor for academic research

Mintel has announced that it has linked up with Professor Pierre Chandon from world famous business school INSEAD to provide data support with Mintel Global New Products Database (GNPD) for Professor Chandon’s academic research work in the food and drink marketing innovation area.

Professor Pierre Chandon is the L’Oréal chaired professor of marketing, innovation and creativity at INSEAD in France, and the Director of the INSEAD-Sorbonne University Behavioural Lab. He studies innovative marketing solutions to better align business growth with consumer health and wellbeing.

“The Partnership with Mintel will definitely help make my academic research be more diverse in terms of data source and data analysis,” said Chandon. “My research work covers many countries and regions trying to find insights into different issues. Mintel is a global company with local business operation and expertise and provides unique high-quality, detailed product data on new products that will be useful for my academic research. I am confident that this partnership with Mintel will bring unique data and insights into the academic research cycle.”

As a leading marketing intelligence firm headquartered in London, Mintel’s analysis of consumers, markets, new products and competitive landscapes provides a unique perspective on global and local economies. Since 1972, Mintel’s predictive analytics and expert recommendations have enabled thousands of clients to make better business decisions faster.

“We’re delighted to be in partnership with Professor Chandon. His research has a major academic influence and is of great benefit for food and drink brands to further innovate, grow their businesses and better meet market needs, ” says Matthew Nelson, General Manager of Mintel APAC. “Our access to a global network of field associates helps Mintel GNPD combine local and global expertise in 86 markets, our wealth of experienced global in-house analysts also provide the expertise to help brands put the data into real business contexts

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