Our values

Boldness and performance for a Tech native company!

At Margo, we show attachment to our values on a daily basis. We strongly believe these values allow us to support the evolution of our clients, partners and employees. We achieve this day after day through R&D and the identification of the most complex and strategic missions, the ones that represent the strongest added-value and that allow our consultants to surpass themselves and to blossom. .
I am tech. You are tech. He is tech. From day one, we create technology, and not of any kind: Deep Technology. Back in 2005, Deep Tech was not the same as it is today. We are moving forward with it, trying to follow without being outrun, and sometimes, we have the great honor to invent it. That’s what we do. Our first success in this domain is CodeCase!
Entrepreneurs at heart, we like to shake received ideas and come up with new different solutions.
Boldness pushes us to take received ideas and come up with new and different solutions. Which are not always successful. But when they are, they not only bring value, but the value. Being bold is to innovate. Innovating is to be competitive. And above all, how boring life would be without boldness!
Is there a better way to assess what we produce than by focusing on performance? It’s not about being liked or being consensual. It’s not about delivering a working tool. It’s about producing a high-performing solution. The one that will bring a competitive advantage to our clients. The main difference between yesterday and today is that technology is not only a means but also an end. Disruptive technologies succeed one another. Our goal now is to derive maximum performance from it, in order to avoid disruption.
of revenue
growth in 2017

What role for the manager in the era of self-management?

Since the emergence of Taylorism and of the specialized worker executing one specific task, working methods never stopped to evolve. Nowadays, in the era of self-management, we make sure that every employee has been given the keys to participate in the decision making process and to perform his mission.

01/08/2018 Discover 

3 questions to Sébastien Bourguignon, Principal & Lead Digital Influencer at Margo

Once a week, Havas Blockchain interviews key people of the blockchain ecosystem. Sébastien Bourguignon, our Principal & Lead Digital Influencer, accepted to participate in this initiative. Discover his interview:

25/07/2018 Discover 

Kaggle Challenge: TalkingData AdTracking Fraud Detection

TalkingData, China’s largest independent big data service platform, covers over 70% of active mobile devices nationwide. Their current approach to prevent click fraud for app developers is to measure the journey of a user’s click across their portfolio, and flag IP addresses who produce lots of clicks, but never end up installing apps. While successful, they want to always be one step ahead of fraudsters and have turned to the Kaggle community for help in further developing their solution.

31/05/2018 Discover 

Data Science applied to the retail industry: 10 essential use cases

Data Science is having an increasing impact on business models in all industries, including retail. According to IBM, 62% of retailers say the use of Big Data techniques gives them a serious competitive advantage. Knowing what your customer wants and when, is today at your fingertips thanks to data science. You just need the right tools and the right processes. We present in this article 10 essential applications of data science in the field of retail.

31/05/2018 Discover 

Introduction to TensorFlow on the datalab of Google Cloud Platform

TensorFlow is a software library, open source since 2015, of numerical computation developed by Google. The particularity of TensorFlow is its use of data flow graphs.

30/05/2018 Discover 

Lamport clocks and the pattern of the Idempotent Producer (Kafka)

Do you know the Lamport clocks? Devoxx France 2018 was the opportunity, during the very interesting talk of DuyHai DOAN , to discover or rediscover this algorithm formalized by Leslie Lamport in 1978, more than ever used today in the field of distributed systems, and which would have inspired the Kafka developers in the implementation of the pattern of Idempotent Producer .

23/05/2018 Discover