News August 29th 2019

Ekimetrics hires a new Partner, Laurent Félix

With more than 280 employees worldwide, Ekimetrics is expanding its Executive Committee to support this strong growth.

The twelve-year-old consulting company, pioneer and leader in Data Science, has recruited a new Partner, Laurent Félix

 

Especially involved in the firm's development, Laurent has 3 priority missions:   

  • Professionalization of sales activities: development of tools & processes for managing sales activities, and team training; 

  • Diversification of the Ekimetrics offer: consolidation of the "Data Science Transformation" offer, which aims to integrate Data Science into customers' businesses on a sustainable basis, in particular by building technological, methodological and governance assets; 

  • Enriching Ekimetrics career paths, to continuously attract and develop the more talented people - Sponsor of the Ekimetrics HR Committee.  

Laurent has more than 15 years of experience in technology transformation consulting. He quickly progressed to a management position in a high-level consulting firm, at Wavestone (formerly Solucom), as Senior Manager and Board Member of Digital & Emerging Technologies Practice. Prior to that, he led numerous transformation projects for major French and European global firms, as well as strategic studies for senior executives. Laurent has developed a broad and diversified expertise in the application of new digital technologies to customer challenges, such as IoT, networks & telecommunications, IT architecture or data analysis.

 

His in-depth knowledge of digital technology and his solid experience in growth management are undeniable assets to support Ekimetrics' development.

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.