MIFID | DATA XL:: THE PRICING COMPANY

KEY BENEFITS

No setup cost or IT layer.
Fast results: After the PoC you can be fully independent with our cloud solution.
We can work based on a success fee or as a service.
GDPR compliance
White label solution

WAR STORIES

Regardless of its size, observational data can usually only measure correlation, not causality.
It can be tricky to distinguish causal effects from mere correlation. What’s the solution? Experiments. These are the gold standard for measuring causality.
Regulation must create a sale opportunity.

WHY IS DATA XL DIFFERENT

OUR APPROACH

We imitate real life. In the MIFID survey, we will present products that do not exist but that seem believable to consumers. As people choose these products and participate in this experiment, they will reveal their preference mechanisms.

We use economics’ revealed preference theory. This theory holds that consumers’ preferences can be revealed by what they purchase under different circumstances.
We do not need to measure client rationality to obtain good predictions. We only need consistent behaviour (within client groups/clusters).
What’s the solution to finding consistency and causality? Experiments. These are the gold standard for measuring causality. (Ideally, experiments would be carried out continuously so we can assess subtle environmental cues through cluster and discriminant analyses.)