News June 28th 2018

Ekimetrics appoints Nicolas Averseng as CTO

Ekimetrics, a pioneering consultancy firm and leader in Data Science for eleven years, has appointed Nicolas Averseng to manage its Technical Department.

As part of his new role, Nicolas will be in charge of strengthening technological innovation within the company and contributing to developing its offer.

To support the company's growth and continuously improve its effectiveness to meet the highly demanding needs of its customers, Ekimetrics must employ the very best practices and technologies. To drive this acceleration forward in an ever-changing market - relying on human, data and technology - our data science consulting firm is planning to make full use of Nicolas Averseng’s fifteen years of experience.

He will structure and strengthen the assets developed by Ekimetrics over the last eleven years (e.g. proprietary methods, technical know-how, skills, etc.), and work alongside the Marketing and CRM departments of leading brands to make this one of our future pillars of growth.

His main missions will be to accelerate Ekimetrics’ technological dimension in order to support companies in terms of their data value chain (architecture IT, data roadmap and industrialisation), and create an environment that encourages agile and effective productivity for teams and customers in compliance with the strict regulatory climate. He will also be tasked with setting up an in-house studio to develop bespoke products, web apps and data platforms to support strategic consultancy missions (predictive tools, smart dashboards, Dataviz, etc.).

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.