Why modernise traders' analytical solutions?

It’s either horrible or beautiful (it is up to you…) but it works. Very well even! So, basically, why change?

We’re betting – without taking too much risk – that this strategy will come to an end and that you won’t have a choice anyway. CIOs are now monopolised by issues of cost control, security and data hosting. Maintaining business applications via updates is always risky, time-consuming and costly in terms of internal resources. Recent software, for their part, have all moved to “SaaS” mode. This means that you access them via a web page with a login and password: the service provider always provides you with the latest version of the application; IT no longer takes care of this.

But beyond this inevitable evolution, we would tend to tell you that the first of the real reasons to worry about it today is that you are not alone. Having the same viewpoint as your current competitors in the market is a permanent strategic issue. Hence the fact that your competitors are evolving… There are also new entrants who are arriving and who can equip themselves with ultra-modern solutions without having to migrate any existing ones.

The second reason is that the accumulation of data, all of which is necessary for a better understanding of the markets, may overwhelm us in the near future. Manual analysis will probably become impossible in the near future. The costs of licences, security, data hosting… will explode without giving you any competitive advantage in itself. Indeed, data is only a prerequisite and is potentially accessible to all. The problem is therefore not to own them all, but to have access to the right ones before the others, and to be able to draw from them an analysis that leads to safe and rapid decision-making.

Not anticipating change today means accepting to undergo it tomorrow (with the outcome we imagine). However, changing everything is totally unthinkable and far too risky.

So what can we do?

At COR-e, in spite of our youth, we are condemned to constantly evolve.
We are faced with the same thoughts, even if it is true that our constraints are tiny compared to those of some of our multinational clients.

What we do observe, however, in our clients who innovate, is that they have the intelligence to do so in small steps, often via pilot solutions with measured risk. Without calling into question the existing situation, they allow themselves parallel experiments which could well outperform the existing situation and which, whatever happens, will teach them a great deal about what is possible for the future.

We have learned to accompany them in different ways:

• By working on predictive solutions via IA, alternatives to those of our clients, which are often more conventional (Stack or Delta). Sometimes the results are better, sometimes conventional methods preform better: it all depends on the context and the objective sought. But modelling via IA is, in any case, faster, cheaper and will only improve in terms of performance.
• By working on the choice of the right basic data, standardised (even corrected by IA for some countries) and therefore immediately usable.
• By working on ergonomic interfaces, simple to use, but more powerful than their predecessors for those who really know how to use them. In a teleworking situation, not piling up new screens to improve one’s vision is often appreciated.

Beyond trying to provide excellent forecasts, served by modern interfaces, our job is to help our customers in their transformation to, if possible, get a head start on the competition.

We look forward to talking to you soon!