That’s it for the picture and the philosophy of the company. As for your challenges and with the first contacts we had at the conference, it was really interesting.

It’s something interesting to tell the story of the past, what we have seen etc. It’s even better to have tools and models to help people make better decisions. We have to be humble. An algorithm of model will never take the decision by itself. That’s something we need to ...

Recently I’ve heard a speech from CMO of MasterCard, and he was talking about being creative. [laughs] He was talking about media, but that’s something...he was telling about the end of the age of storytelling, we’re now about story making. That could be a good objective for our work of ...

What we want to do is really to be predictive and prescriptive, meaning that we want to be able to have an impact on decision making and really inform, give more insights to people making decisions. The way to do it is always being able to tell a story.

That’s for us the commission to go further than just bottomless, or meaning just descriptive, and doing dashboards, etc.

If they seem...it’s impossible for a brick and mortar company to say from one day to the next, "We are a digital company." They have to find the way digital is fitting their organization, their way of thinking, and brings more value.

Actually you have to do it the other way around, to find a way to drive that from your perspective, with your process, the existing solution, and to make technology fit to your culture. That’s something we see a lot with companies that are brick and mortar companies and that ...

Anywhere you pay high fee for a license, and you have to put everything in it. For us, our point of view is that that does not work anymore, because that’s something where a lot of failures are linked to the fact that they asked company to fit their software ...

That’s big change, meaning that the big names of IT, such as IBM, or even Salesforce for software, etc. they have this way of thinking about delivering all‑inclusive solution.

You have to be agile enough to use one technology or the other, and to change from one day to the next. To reuse what is already existing to go one step further.

Then, the last point is about methodology, technology, etc. Once you have well‑defined the first two steps, actually it’s easy to implement it, meaning also that we live...the big difference between 10 years ago and now is everything is open source now.

It’s about defining the right KPI, so that you’re sure that you are mastering what you do, and you’re sure also that you’re able to tell the story around that. There’s nothing worse than an algorithm where you’re not able to explain the mechanics.

Be able to leverage both small and big data, as long as this data makes sense. Create also the way to give meaning to that data. Meaning that when you do data science, it’s not about taking all the data available, putting that in an algorithm, shake it, and have ...

The way we work, and what we think is the right recipe to deliver value, is always to start with a purpose or start with the business questions, start with something that is really independent from all the data questions. Then see if there is a data ecosystem, and data ...

The first thing we see is that if you only take that kind of change through the technical and the technology lens, you miss something to actually make it happen.

Where we are following that initiative, and where we see that this question of teaming up and having around the table a different type of profile? It’s really a complex situation. We are not talking about that data challenge, we are talking about change management, and changing the way of ...

For Google and Facebook, we are one of the three or four suppliers for them for some modeling about efficiency of digital, as compared to other type of investments. We are also partnering with cities and with governments in France, mainly, because we have started a company in France.

We love working with global companies on how to adapt the methodologies from one brand to another, from one country to another. You see that we are partnering with especially Google and Facebook.

What we do is, we work for many Fortune 500 companies leveraging their data to answer key strategy questions. Questions about their investments, questions about how to manage a customer database, about pricing, positioning.

It’s important for us to really ‑‑ because we’ll see later ‑‑ to create the bridge between the business stakes or the stakes for the government, and the use of data. If it’s really a thing, if you are able to team up both sides, you are able to deliver ...

Our idea was really to have these two expertise within our team. Today, even if that in a sense is more and more the trend, it’s not so often that you have this kind of combination, because we are now 150 consultants, and all of these consultants are doing strategic ...