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. .

Tech

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

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!

Performance

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.

300

employees

€25.6M

of revenue

+24%

growth in 2017

Tribune

Successfully completing a data project: a path still strewn with pitfalls

In 2020, corporate investment in data projects is expected to exceed 203 billion dollars worldwide. But at a time when many are claiming to be Data Driven Companies, lots of data projects end in failure. Yet most of these failures are unnecessary and due to well-known causes! Focus on the recurrent pitfalls to avoid.

News

Truths and falsehoods of blockchain

When it comes to blockchain technology, people are familiar with contradictory facts but in many cases this technology is poorly understood, and those who speak of it have done no more than read the literature that is available online. So we'd like to offer you a 10-point analysis of what is said on a regular basis about blockchain.

Tribune

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.

News

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:

News

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.

News

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.