News October 19th 2016

Ekimetrics at Stratégie Summit

Data and creativity are often opposed, a bit like opposing literary profiles to scientists or intuitive people to rational.

Jean-Baptiste Bouzige, President of Ekimetrics, proposes through a keynote during the Strategies Summit to state the approach to overcome these oppositions and reconcile Data and Creativity, through the history and various achievements of Ekimetrics at the service of creative industries. Boost creativity via Data, an approach that combines intuition and deduction, lyricism and pragmatism.

To do this, it is necessary to understand the specificities of the business in order to interpret them statistically. One of the most advanced cases of data at the service of the creative trades; Ekimetrics accompanied one of the great luxury leaders to define silhouettes and clothing styles based on Data. This has made it possible to prioritize the creation of new products based exclusively on the Data of the consumers and the specificities of the products.

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This type of approach is only possible through a fine understanding of the product universe, merchandising and market dynamics. It is clever to detail the method to arrive at convincing results, because only a sharp understanding of the trades allows to model the creative trades. The rest of the article is available here.

Thought Leadership July 10th 2019

McDonald's France : business strategy, behavioural analysis & big data

Whether I’m in class or talking to friends, it is often difficult to explain to them what the meta-data in their daily lives can do. It is easy to imagine how big data is used in scientific calculations of meteorological models or for managing transport, but it is harder to see how it can be used in our daily lives.
Thought Leadership June 19th 2019

How to combine business approaches, advanced statistics, and technology?

It is sometimes difficult to create a link between highly sophisticated statistical approaches and business reality. The transformation of data into value is an art that needs to combine three different pillars: business understanding, advanced statistics and technology. This triangular approach needs to be adopted by all machine learning projects.